NeurIPS | 2018_adamkilian猛1

https://nips.cc/Conferences/2018/Schedule?type=Poster

 

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Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #1

Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data

In Tue Poster Session A

Xenia Miscouridou · Francois Caron · Yee Whye Teh

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #2

The Lingering of Gradients: How to Reuse Gradients Over Time

In Tue Poster Session A

Zeyuan Allen-Zhu · David Simchi-Levi · Xinshang Wang

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #3

Quadratic Decomposable Submodular Function Minimization

In Tue Poster Session A

Pan Li · Niao He · Olgica Milenkovic

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #4

On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport

In Tue Poster Session A

Lénaïc Chizat · Francis Bach

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #5

Leveraging the Exact Likelihood of Deep Latent Variable Models

In Tue Poster Session A

Pierre-Alexandre Mattei · Jes Frellsen

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #6

DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors

In Tue Poster Session A

Arash Vahdat · Evgeny Andriyash · William Macready

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #7

Amortized Inference Regularization

In Tue Poster Session A

Rui Shu · Hung Bui · Shengjia Zhao · Mykel J Kochenderfer · Stefano Ermon

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #8

GumBolt: Extending Gumbel trick to Boltzmann priors

In Tue Poster Session A

Amir H Khoshaman · Mohammad Amin

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #9

Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders

In Tue Poster Session A

Tengfei Ma · Jie Chen · Cao Xiao

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #10

Invertibility of Convolutional Generative Networks from Partial Measurements

In Tue Poster Session A

Fangchang Ma · Ulas Ayaz · Sertac Karaman

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #11

Glow: Generative Flow with Invertible 1x1 Convolutions

In Tue Poster Session A

Durk Kingma · Prafulla Dhariwal

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #12

Multimodal Generative Models for Scalable Weakly-Supervised Learning

In Tue Poster Session A

Mike Wu · Noah Goodman

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #13

IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis

In Tue Poster Session A

Huaibo Huang · zhihang li · Ran He · Zhenan Sun · Tieniu Tan

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #14

Towards Text Generation with Adversarially Learned Neural Outlines

In Tue Poster Session A

Sandeep Subramanian · Sai Rajeswar Mudumba · Alessandro Sordoni · Adam Trischler · Aaron Courville · Chris Pal

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #15

Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound

In Tue Poster Session A

Hadi Kazemi · Sobhan Soleymani · Fariborz Taherkhani · Seyed Iranmanesh · Nasser Nasrabadi

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #16

Adversarial Scene Editing: Automatic Object Removal from Weak Supervision

In Tue Poster Session A

Rakshith R Shetty · Mario Fritz · Bernt Schiele

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #17

Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions

In Tue Poster Session A

Boris Muzellec · Marco Cuturi

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #18

Banach Wasserstein GAN

In Tue Poster Session A

Jonas Adler · Sebastian Lunz

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #19

A Convex Duality Framework for GANs

In Tue Poster Session A

Farzan Farnia · David Tse

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #20

On the Convergence and Robustness of Training GANs with Regularized Optimal Transport

In Tue Poster Session A

Maziar Sanjabi · Jimmy Ba · Meisam Razaviyayn · Jason Lee

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #21

On gradient regularizers for MMD GANs

In Tue Poster Session A

Michael Arbel · Dougal J Sutherland · Mikołaj Bińkowski · Arthur Gretton

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #22

PacGAN: The power of two samples in generative adversarial networks

In Tue Poster Session A

Zinan Lin · Ashish Khetan · Giulia Fanti · Sewoong Oh

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #23

Are GANs Created Equal? A Large-Scale Study

In Tue Poster Session A

Mario Lucic · Karol Kurach · Marcin Michalski · Sylvain Gelly · Olivier Bousquet

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #24

Disconnected Manifold Learning for Generative Adversarial Networks

In Tue Poster Session A

Mahyar Khayatkhoei · Maneesh K. Singh · Ahmed Elgammal

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #25

Hessian-based Analysis of Large Batch Training and Robustness to Adversaries

In Tue Poster Session A

Zhewei Yao · Amir Gholami · Qi Lei · Kurt Keutzer · Michael W Mahoney

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #26

Fast and Effective Robustness Certification

In Tue Poster Session A

Gagandeep Singh · Timon Gehr · Matthew Mirman · Markus Püschel · Martin Vechev

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #27

Graphical Generative Adversarial Networks

In Tue Poster Session A

Chongxuan LI · Max Welling · Jun Zhu · Bo Zhang

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #28

Deep Defense: Training DNNs with Improved Adversarial Robustness

In Tue Poster Session A

Ziang Yan · Yiwen Guo · Changshui Zhang

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #29

Learning to Repair Software Vulnerabilities with Generative Adversarial Networks

In Tue Poster Session A

Jacob Harer · Onur Ozdemir · Tomo Lazovich · Christopher Reale · Rebecca Russell · Louis Kim · peter chin

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #30

Memory Replay GANs: Learning to Generate New Categories without Forgetting

In Tue Poster Session A

Chenshen Wu · Luis Herranz · Xialei Liu · yaxing wang · Joost van de Weijer · Bogdan Raducanu

 Paper »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #31

Unsupervised Attention-guided Image-to-Image Translation

In Tue Poster Session A

Youssef Alami Mejjati · Christian Richardt · James Tompkin · Darren Cosker · Kwang In Kim

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #32

Conditional Adversarial Domain Adaptation

In Tue Poster Session A

Mingsheng Long · ZHANGJIE CAO · Jianmin Wang · Michael Jordan

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #33

Video-to-Video Synthesis

In Tue Poster Session A

Ting-Chun Wang · Ming-Yu Liu · Jun-Yan Zhu · Nikolai Yakovenko · Andrew Tao · Jan Kautz · Bryan Catanzaro

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #34

Generalized Zero-Shot Learning with Deep Calibration Network

In Tue Poster Session A

Shichen Liu · Mingsheng Long · Jianmin Wang · Michael Jordan

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #35

Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks

In Tue Poster Session A

Hang Gao · Zheng Shou · Alireza Zareian · Hanwang Zhang · Shih-Fu Chang

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #36

Trading robust representations for sample complexity through self-supervised visual experience

In Tue Poster Session A

Andrea Tacchetti · Stephen Voinea · Georgios Evangelopoulos

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #37

TADAM: Task dependent adaptive metric for improved few-shot learning

In Tue Poster Session A

Boris Oreshkin · Pau Rodríguez López · Alexandre Lacoste

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #38

FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction

In Tue Poster Session A

Shuyang Sun · Jiangmiao Pang · Jianping Shi · Shuai Yi · Wanli Ouyang

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #39

Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks

In Tue Poster Session A

Hyeonseob Nam · Hyo-Eun Kim

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #40

A^2-Nets: Double Attention Networks

In Tue Poster Session A

Yunpeng Chen · Yannis Kalantidis · Jianshu Li · Shuicheng Yan · Jiashi Feng

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #41

Pelee: A Real-Time Object Detection System on Mobile Devices

In Tue Poster Session A

Jun Wang · Tanner Bohn · Charles Ling

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #42

PointCNN: Convolution On X-Transformed Points

In Tue Poster Session A

Yangyan Li · Rui Bu · Mingchao Sun · Wei Wu · Xinhan Di · Baoquan Chen

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #43

Deep Neural Networks with Box Convolutions

In Tue Poster Session A

Egor Burkov · Victor Lempitsky

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #44

An intriguing failing of convolutional neural networks and the CoordConv solution

In Tue Poster Session A

Rosanne Liu · Joel Lehman · Piero Molino · Felipe Petroski Such · Eric Frank · Alex Sergeev · Jason Yosinski

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #45

3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

In Tue Poster Session A

Maurice Weiler · Wouter Boomsma · Mario Geiger · Max Welling · Taco Cohen

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #46

Moonshine: Distilling with Cheap Convolutions

In Tue Poster Session A

Elliot J. Crowley · Gavin Gray · Amos Storkey

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #47

Kalman Normalization: Normalizing Internal Representations Across Network Layers

In Tue Poster Session A

Guangrun Wang · jiefeng peng · Ping Luo · Xinjiang Wang · Liang Lin

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #48

SplineNets: Continuous Neural Decision Graphs

In Tue Poster Session A

Cem Keskin · Shahram Izadi

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #49

CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces

In Tue Poster Session A

Liheng Zhang · Marzieh Edraki · Guo-Jun Qi

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #50

Which Neural Net Architectures Give Rise to Exploding and Vanishing Gradients?

In Tue Poster Session A

Boris Hanin

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #51

Exact natural gradient in deep linear networks and its application to the nonlinear case

In Tue Poster Session A

Alberto Bernacchia · Mate Lengyel · Guillaume Hennequin

 Paper »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #52

Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis

In Tue Poster Session A

Thomas George · César Laurent · Xavier Bouthillier · Nicolas Ballas · Pascal Vincent

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #53

Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization

In Tue Poster Session A

Yuanxiang Gao · Li Chen · Baochun Li

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #54

Paraphrasing Complex Network: Network Compression via Factor Transfer

In Tue Poster Session A

Jangho Kim · Seonguk Park · Nojun Kwak

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #55

Learning Compressed Transforms with Low Displacement Rank

In Tue Poster Session A

Anna Thomas · Albert Gu · Tri Dao · Atri Rudra · Christopher Ré

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #56

Knowledge Distillation by On-the-Fly Native Ensemble

In Tue Poster Session A

xu lan · Xiatian Zhu · Shaogang Gong

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #57

Scalable methods for 8-bit training of neural networks

In Tue Poster Session A

Ron Banner · Itay Hubara · Elad Hoffer · Daniel Soudry

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #58

Training Deep Models Faster with Robust, Approximate Importance Sampling

In Tue Poster Session A

Tyler Johnson · Carlos Guestrin

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #59

Collaborative Learning for Deep Neural Networks

In Tue Poster Session A

Guocong Song · Wei Chai

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #60

A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication

In Tue Poster Session A

Peng Jiang · Gagan Agrawal

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #61

Bayesian Distributed Stochastic Gradient Descent

In Tue Poster Session A

Michael Teng · Frank Wood

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #62

Regularizing by the Variance of the Activations' Sample-Variances

In Tue Poster Session A

Etai Littwin · Lior Wolf

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #63

BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training

In Tue Poster Session A

Songtao Wang · Dan Li · Yang Cheng · Jinkun Geng · Yanshu Wang · Shuai Wang · Shu-Tao Xia · Jianping Wu

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #64

L4: Practical loss-based stepsize adaptation for deep learning

In Tue Poster Session A

Michal Rolinek · Georg Martius

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #65

Synaptic Strength For Convolutional Neural Network

In Tue Poster Session A

CHEN LIN · Zhao Zhong · Wu Wei · Junjie Yan

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #66

ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions

In Tue Poster Session A

Hongyang Gao · Zhengyang Wang · Shuiwang Ji

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #67

Frequency-Domain Dynamic Pruning for Convolutional Neural Networks

In Tue Poster Session A

Zhenhua Liu · Jizheng Xu · Xiulian Peng · Ruiqin Xiong

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #68

TETRIS: TilE-matching the TRemendous Irregular Sparsity

In Tue Poster Session A

Yu Ji · Ling Liang · Lei Deng · Youyang Zhang · Youhui Zhang · Yuan Xie

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #69

Heterogeneous Bitwidth Binarization in Convolutional Neural Networks

In Tue Poster Session A

Joshua Fromm · Shwetak Patel · Matthai Philipose

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #70

HitNet: Hybrid Ternary Recurrent Neural Network

In Tue Poster Session A

Peiqi Wang · Xinfeng Xie · Lei Deng · Guoqi Li · Dongsheng Wang · Yuan Xie

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #71

A General Method for Amortizing Variational Filtering

In Tue Poster Session A

Joseph Marino · Milan Cvitkovic · Yisong Yue

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #72

Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices

In Tue Poster Session A

Don Dennis · Chirag Pabbaraju · Harsha Vardhan Simhadri · Prateek Jain

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #73

Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models

In Tue Poster Session A

Minjia Zhang · Wenhan Wang · Xiaodong Liu · Jianfeng Gao · Yuxiong He

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #74

Representer Point Selection for Explaining Deep Neural Networks

In Tue Poster Session A

Chih-Kuan Yeh · Joon Kim · Ian En-Hsu Yen · Pradeep Ravikumar

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #75

Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections

In Tue Poster Session A

Xin Zhang · Armando Solar-Lezama · Rishabh Singh

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #76

DropMax: Adaptive Variational Softmax

In Tue Poster Session A

Hae Beom Lee · Juho Lee · Saehoon Kim · Eunho Yang · Sung Ju Hwang

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #77

Out-of-Distribution Detection using Multiple Semantic Label Representations

In Tue Poster Session A

Gabi Shalev · Yossi Adi · Joseph Keshet

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #78

End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems

In Tue Poster Session A

Linfeng Zhang · Jiequn Han · Han Wang · Wissam Saidi · Roberto Car · Weinan E

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #79

Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition

In Tue Poster Session A

Kuan Han · Haiguang Wen · Yizhen Zhang · Di Fu · Eugenio Culurciello · Zhongming Liu

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #80

SLAYER: Spike Layer Error Reassignment in Time

In Tue Poster Session A

Sumit Bam Shrestha · Garrick Orchard

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #81

DeepPINK: reproducible feature selection in deep neural networks

In Tue Poster Session A

Yang Lu · Yingying Fan · Jinchi Lv · William Stafford Noble

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #82

Learning long-range spatial dependencies with horizontal gated recurrent units

In Tue Poster Session A

Drew Linsley · Junkyung Kim · Vijay Veerabadran · Charles Windolf · Thomas Serre

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #83

Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability

In Tue Poster Session A

Michael Tsang · Hanpeng Liu · Sanjay Purushotham · Pavankumar Murali · Yan Liu

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #84

A Bridging Framework for Model Optimization and Deep Propagation

In Tue Poster Session A

Risheng Liu · Shichao Cheng · xiaokun liu · Long Ma · Xin Fan · Zhongxuan Luo

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #85

The Importance of Sampling inMeta-Reinforcement Learning

In Tue Poster Session A

Bradly Stadie · Ge Yang · Rein Houthooft · Peter Chen · Yan Duan · Yuhuai Wu · Pieter Abbeel · Ilya Sutskever

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #86

Latent Alignment and Variational Attention

In Tue Poster Session A

Yuntian Deng · Yoon Kim · Justin Chiu · Demi Guo · Alexander Rush

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #87

Variational Memory Encoder-Decoder

In Tue Poster Session A

Hung Le · Truyen Tran · Thin Nguyen · Svetha Venkatesh

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #88

Relational recurrent neural networks

In Tue Poster Session A

Adam Santoro · Ryan Faulkner · David Raposo · Jack Rae · Mike Chrzanowski · Theophane Weber · Daan Wierstra · Oriol Vinyals · Razvan Pascanu · Timothy Lillicrap

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #89

Learning to Reason with Third Order Tensor Products

In Tue Poster Session A

Imanol Schlag · Jürgen Schmidhuber

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #90

Reversible Recurrent Neural Networks

In Tue Poster Session A

Matthew MacKay · Paul Vicol · Jimmy Ba · Roger Grosse

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #91

Breaking the Activation Function Bottleneck through Adaptive Parameterization

In Tue Poster Session A

Sebastian Flennerhag · Hujun Yin · John Keane · Mark Elliot

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #92

BRITS: Bidirectional Recurrent Imputation for Time Series

In Tue Poster Session A

Wei Cao · Qi Wei · Jian Li · Hao Zhou · Lei Li · Yitan Li

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #93

Complex Gated Recurrent Neural Networks

In Tue Poster Session A

Moritz Wolter · Angela Yao

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #94

Middle-Out Decoding

In Tue Poster Session A

Shikib Mehri · Leonid Sigal

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #95

Recurrently Controlled Recurrent Networks

In Tue Poster Session A

Yi Tay · Anh Tuan Luu · Siu Cheung Hui

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #96

Tree-to-tree Neural Networks for Program Translation

In Tue Poster Session A

Xinyun Chen · Chang Liu · Dawn Song

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #97

HOUDINI: Lifelong Learning as Program Synthesis

In Tue Poster Session A

Lazar Valkov · Dipak Chaudhari · Akash Srivastava · Charles Sutton · Swarat Chaudhuri

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #98

Neural Guided Constraint Logic Programming for Program Synthesis

In Tue Poster Session A

Lisa Zhang · Gregory Rosenblatt · Ethan Fetaya · Renjie Liao · William Byrd · Matthew Might · Raquel Urtasun · Richard Zemel

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #99

Embedding Logical Queries on Knowledge Graphs

In Tue Poster Session A

Will Hamilton · Payal Bajaj · Marinka Zitnik · Dan Jurafsky · Jure Leskovec

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 210 #100

Expanding Holographic Embeddings for Knowledge Completion

In Tue Poster Session A

Yexiang Xue · Yang Yuan · Zhitian Xu · Ashish Sabharwal

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #101

On the Dimensionality of Word Embedding

In Tue Poster Session A

Zi Yin · Yuanyuan Shen

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #102

Flexible neural representation for physics prediction

In Tue Poster Session A

Damian Mrowca · Chengxu Zhuang · Elias Wang · Nick Haber · Li Fei-Fei · Josh Tenenbaum · Daniel Yamins

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #103

Content preserving text generation with attribute controls

In Tue Poster Session A

Lajanugen Logeswaran · Honglak Lee · Samy Bengio

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #104

Recurrent Relational Networks

In Tue Poster Session A

Rasmus Palm · Ulrich Paquet · Ole Winther

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #105

GLoMo: Unsupervised Learning of Transferable Relational Graphs

In Tue Poster Session A

Zhilin Yang · Jake Zhao · Bhuwan Dhingra · Kaiming He · William Cohen · Ruslan Salakhutdinov · Yann LeCun

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #106

Predictive Uncertainty Estimation via Prior Networks

In Tue Poster Session A

Andrey Malinin · Mark Gales

 Paper »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #107

Adversarial Multiple Source Domain Adaptation

In Tue Poster Session A

Han Zhao · Shanghang Zhang · Guanhang Wu · José M. F. Moura · Joao P Costeira · Geoffrey Gordon

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #108

Adversarial Examples that Fool both Computer Vision and Time-Limited Humans

In Tue Poster Session A

Gamaleldin Elsayed · Shreya Shankar · Brian Cheung · Nicolas Papernot · Alexey Kurakin · Ian Goodfellow · Jascha Sohl-Dickstein

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #109

A Simple Cache Model for Image Recognition

In Tue Poster Session A

Emin Orhan

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #110

Co-teaching: Robust training of deep neural networks with extremely noisy labels

In Tue Poster Session A

Bo Han · Quanming Yao · Xingrui Yu · Gang Niu · Miao Xu · Weihua Hu · Ivor Tsang · Masashi Sugiyama

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #111

Improved Network Robustness with Adversary Critic

In Tue Poster Session A

Alexander Matyasko · Lap-Pui Chau

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #112

Unsupervised Learning of Object Landmarks through Conditional Image Generation

In Tue Poster Session A

Tomas Jakab · Ankush Gupta · Hakan Bilen · Andrea Vedaldi

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #113

Multi-Task Learning as Multi-Objective Optimization

In Tue Poster Session A

Ozan Sener · Vladlen Koltun

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #114

Deep Anomaly Detection Using Geometric Transformations

In Tue Poster Session A

Izhak Golan · Ran El-Yaniv

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #115

Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching

In Tue Poster Session A

Stepan Tulyakov · Anton Ivanov · François Fleuret

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #116

VideoCapsuleNet: A Simplified Network for Action Detection

In Tue Poster Session A

Kevin Duarte · Yogesh Rawat · Mubarak Shah

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #117

With Friends Like These, Who Needs Adversaries?

In Tue Poster Session A

Saumya Jetley · Nicholas Lord · Philip Torr

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #118

Multi-Task Zipping via Layer-wise Neuron Sharing

In Tue Poster Session A

Xiaoxi He · Zimu Zhou · Lothar Thiele

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #119

Learning Versatile Filters for Efficient Convolutional Neural Networks

In Tue Poster Session A

Yunhe Wang · Chang Xu · Chunjing XU · Chao Xu · Dacheng Tao

 Paper »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #120

Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks

In Tue Poster Session A

Xiaodong Cui · Wei Zhang · Zoltán Tüske · Michael Picheny

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #121

Structure-Aware Convolutional Neural Networks

In Tue Poster Session A

Jianlong Chang · Jie Gu · Lingfeng Wang · GAOFENG MENG · SHIMING XIANG · Chunhong Pan

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #122

Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks

In Tue Poster Session A

Qilong Wang · Zilin Gao · Jiangtao Xie · Wangmeng Zuo · Peihua Li

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #123

Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks

In Tue Poster Session A

Yingyezhe Jin · Wenrui Zhang · Peng Li

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #124

Deep Neural Nets with Interpolating Function as Output Activation

In Tue Poster Session A

Bao Wang · Xiyang Luo · Zhen Li · Wei Zhu · Zuoqiang Shi · Stanley Osher

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #125

Neural Edit Operations for Biological Sequences

In Tue Poster Session A

Satoshi Koide · Keisuke Kawano · Takuro Kutsuna

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB

Improved Expressivity Through Dendritic Neural Networks

In Tue Poster Session A

Xundong Wu · Xiangwen Liu · Wei Li · Qing Wu

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #127

Neural Proximal Gradient Descent for Compressive Imaging

In Tue Poster Session A

Morteza Mardani · Qingyun Sun · David Donoho · Vardan Papyan · Hatef Monajemi · Shreyas Vasanawala · John Pauly

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #128

Sigsoftmax: Reanalysis of the Softmax Bottleneck

In Tue Poster Session A

Sekitoshi Kanai · Yasuhiro Fujiwara · Yuki Yamanaka · Shuichi Adachi

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #129

Visualizing the Loss Landscape of Neural Nets

In Tue Poster Session A

Hao Li · Zheng Xu · Gavin Taylor · Christoph Studer · Tom Goldstein

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #130

Clebsch–Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network

In Tue Poster Session A

Risi Kondor · Zhen Lin · Shubhendu Trivedi

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #131

Adaptive Sampling Towards Fast Graph Representation Learning

In Tue Poster Session A

Wenbing Huang · Tong Zhang · Yu Rong · Junzhou Huang

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #132

NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations

In Tue Poster Session A

Marco Ciccone · Marco Gallieri · Jonathan Masci · Christian Osendorfer · Faustino Gomez

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #133

Scaling provable adversarial defenses

In Tue Poster Session A

Eric Wong · Frank Schmidt · Jan Hendrik Metzen · J. Zico Kolter

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #134

Lipschitz regularity of deep neural networks: analysis and efficient estimation

In Tue Poster Session A

Aladin Virmaux · Kevin Scaman

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #135

Training DNNs with Hybrid Block Floating Point

In Tue Poster Session A

Mario Drumond · Tao LIN · Martin Jaggi · Babak Falsafi

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #136

Mesh-TensorFlow: Deep Learning for Supercomputers

In Tue Poster Session A

Noam Shazeer · Youlong Cheng · Niki Parmar · Dustin Tran · Ashish Vaswani · Penporn Koanantakool · Peter Hawkins · HyoukJoong Lee · Mingsheng Hong · Cliff Young · Ryan Sepassi · Blake Hechtman

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #137

Thwarting Adversarial Examples: An L0L0-Robust Sparse Fourier Transform

In Tue Poster Session A

Mitali Bafna · Jack Murtagh · Nikhil Vyas

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #138

Bayesian Adversarial Learning

In Tue Poster Session A

Nanyang Ye · Zhanxing Zhu

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #139

Dendritic cortical microcircuits approximate the backpropagation algorithm

In Tue Poster Session A

João Sacramento · Rui Ponte Costa · Yoshua Bengio · Walter Senn

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #140

Learning a latent manifold of odor representations from neural responses in piriform cortex

In Tue Poster Session A

Anqi Wu · Stan Pashkovski · Sandeep Datta · Jonathan W Pillow

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #141

Size-Noise Tradeoffs in Generative Networks

In Tue Poster Session A

Bolton Bailey · Matus Telgarsky

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #142

On Neuronal Capacity

In Tue Poster Session A

Pierre Baldi · Roman Vershynin

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #143

Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data

In Tue Poster Session A

Yuanzhi Li · Yingyu Liang

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #144

Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres

In Tue Poster Session A

Oisín Moran · Piergiorgio Caramazza · Daniele Faccio · Roderick Murray-Smith

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #145

Learning towards Minimum Hyperspherical Energy

In Tue Poster Session A

Weiyang Liu · Rongmei Lin · Zhen Liu · Lixin Liu · Zhiding Yu · Bo Dai · Le Song

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #146

Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis

In Tue Poster Session A

Haoye Dong · Xiaodan Liang · Ke Gong · Hanjiang Lai · Jia Zhu · Jian Yin

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #147

Deep Attentive Tracking via Reciprocative Learning

In Tue Poster Session A

Shi Pu · Yibing Song · Chao Ma · Honggang Zhang · Ming-Hsuan Yang

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #148

Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias

In Tue Poster Session A

Abhinav Gupta · Adithyavairavan Murali · Dhiraj Prakashchand Gandhi · Lerrel Pinto

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #149

A flexible model for training action localization with varying levels of supervision

In Tue Poster Session A

Guilhem Chéron · Jean-Baptiste Alayrac · Ivan Laptev · Cordelia Schmid

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #150

Bilinear Attention Networks

In Tue Poster Session A

Jin-Hwa Kim · Jaehyun Jun · Byoung-Tak Zhang

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #151

MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models

In Tue Poster Session A

Boyuan Pan · Yazheng Yang · Hao Li · Zhou Zhao · Yueting Zhuang · Deng Cai · Xiaofei He

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #152

Diffusion Maps for Textual Network Embedding

In Tue Poster Session A

Xinyuan Zhang · Yitong Li · Dinghan Shen · Lawrence Carin

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #153

FRAGE: Frequency-Agnostic Word Representation

In Tue Poster Session A

Chengyue Gong · Di He · Xu Tan · Tao Qin · Liwei Wang · Tie-Yan Liu

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #154

A Retrieve-and-Edit Framework for Predicting Structured Outputs

In Tue Poster Session A

Tatsunori Hashimoto · Kelvin Guu · Yonatan Oren · Percy Liang

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #155

Unsupervised Text Style Transfer using Language Models as Discriminators

In Tue Poster Session A

Zichao Yang · Zhiting Hu · Chris Dyer · Eric Xing · Taylor Berg-Kirkpatrick

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #156

Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces

In Tue Poster Session A

Yu-An Chung · Wei-Hung Weng · Schrasing Tong · James Glass

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #157

GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training

In Tue Poster Session A

Mingchao Yu · Zhifeng Lin · Krishna Narra · Songze Li · Youjie Li · Nam Sung Kim · Alexander Schwing · Murali Annavaram · Salman Avestimehr

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #158

Gradient Sparsification for Communication-Efficient Distributed Optimization

In Tue Poster Session A

Jianqiao Wangni · Jialei Wang · Ji Liu · Tong Zhang

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #159

Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data

In Tue Poster Session A

Ehsan Hajiramezanali · Siamak Zamani Dadaneh · Alireza Karbalayghareh · Mingyuan Zhou · Xiaoning Qian

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #160

Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning

In Tue Poster Session A

Xing Yan · Weizhong Zhang · Lin Ma · Wei Liu · Qi Wu

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #161

Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere

In Tue Poster Session A

Yanjun Li · Yoram Bresler

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #162

Phase Retrieval Under a Generative Prior

In Tue Poster Session A

Paul Hand · Oscar Leong · Vlad Voroninski

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #163

Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds

In Tue Poster Session A

Xiaohan Chen · Jialin Liu · Zhangyang Wang · Wotao Yin

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #164

Modern Neural Networks Generalize on Small Data Sets

In Tue Poster Session A

Matthew Olson · Abraham Wyner · Richard Berk

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #165

Co-regularized Alignment for Unsupervised Domain Adaptation

In Tue Poster Session A

Abhishek Kumar · Prasanna Sattigeri · Kahini Wadhawan · Leonid Karlinsky · Rogerio Feris · Bill Freeman · Gregory Wornell

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #166

Neural Networks Trained to Solve Differential Equations Learn General Representations

In Tue Poster Session A

Martin Magill · Faisal Qureshi · Hendrick de Haan

 Paper »   Poster » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #167

Spectral Filtering for General Linear Dynamical Systems

In Tue Poster Session A

Elad Hazan · HOLDEN LEE · Karan Singh · Cyril Zhang · Yi Zhang

 Paper » 

Poster

Tue Dec 4th 10:45 AM -- 12:45 PM @ Room 517 AB #168

Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior

In Tue Poster Session A

Sid Reddy · Anca Dragan · Sergey Levine

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #1

Point process latent variable models of larval zebrafish behavior

In Tue Poster Session B

Anuj Sharma · Robert Johnson · Florian Engert · Scott Linderman

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #2

Provably Correct Automatic Sub-Differentiation for Qualified Programs

In Tue Poster Session B

Sham Kakade · Jason Lee

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #3

Neural Ordinary Differential Equations

In Tue Poster Session B

Tian Qi Chen · Yulia Rubanova · Jesse Bettencourt · David Duvenaud

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #4

Information Constraints on Auto-Encoding Variational Bayes

In Tue Poster Session B

Romain Lopez · Jeffrey Regier · Michael Jordan · Nir Yosef

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #5

Robustness of conditional GANs to noisy labels

In Tue Poster Session B

Kiran Thekumparampil · Ashish Khetan · Zinan Lin · Sewoong Oh

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #6

Bias and Generalization in Deep Generative Models: An Empirical Study

In Tue Poster Session B

Shengjia Zhao · Hongyu Ren · Arianna Yuan · Jiaming Song · Noah Goodman · Stefano Ermon

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #7

Probabilistic Neural Programmed Networks for Scene Generation

In Tue Poster Session B

Zhiwei Deng · Jiacheng Chen · YIFANG FU · Greg Mori

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #8

Step Size Matters in Deep Learning

In Tue Poster Session B

Kamil Nar · Shankar Sastry

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #9

Neural Tangent Kernel: Convergence and Generalization in Neural Networks

In Tue Poster Session B

Arthur Jacot-Guillarmod · Clement Hongler · Franck Gabriel

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #10

How Does Batch Normalization Help Optimization?

In Tue Poster Session B

Shibani Santurkar · Dimitris Tsipras · Andrew Ilyas · Aleksander Madry

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #11

Towards Robust Detection of Adversarial Examples

In Tue Poster Session B

Tianyu Pang · Chao Du · Yinpeng Dong · Jun Zhu

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #12

Training Neural Networks Using Features Replay

In Tue Poster Session B

Zhouyuan Huo · Bin Gu · Heng Huang

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #13

Faster Neural Networks Straight from JPEG

In Tue Poster Session B

Lionel Gueguen · Alex Sergeev · Ben Kadlec · Rosanne Liu · Jason Yosinski

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #14

Hierarchical Graph Representation Learning with Differentiable Pooling

In Tue Poster Session B

Zhitao Ying · Jiaxuan You · Christopher Morris · Xiang Ren · Will Hamilton · Jure Leskovec

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #15

Bayesian Model-Agnostic Meta-Learning

In Tue Poster Session B

Jaesik Yoon · Taesup Kim · Ousmane Dia · Sungwoong Kim · Yoshua Bengio · Sungjin Ahn

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #16

Evolved Policy Gradients

In Tue Poster Session B

Rein Houthooft · Yuhua Chen · Phillip Isola · Bradly Stadie · Filip Wolski · OpenAI Jonathan Ho · Pieter Abbeel

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #17

BourGAN: Generative Networks with Metric Embeddings

In Tue Poster Session B

Chang Xiao · Peilin Zhong · Changxi Zheng

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #18

Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation

In Tue Poster Session B

Matthew O'Kelly · Aman Sinha · Hongseok Namkoong · Russ Tedrake · John Duchi

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #19

Generalisation of structural knowledge in the hippocampal-entorhinal system

In Tue Poster Session B

James Whittington · Timothy Muller · Shirely Mark · Caswell Barry · Tim Behrens

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #20

Task-Driven Convolutional Recurrent Models of the Visual System

In Tue Poster Session B

Aran Nayebi · Daniel Bear · Jonas Kubilius · Kohitij Kar · Surya Ganguli · David Sussillo · James J DiCarlo · Daniel Yamins

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #21

Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding

In Tue Poster Session B

Kexin Yi · Jiajun Wu · Chuang Gan · Antonio Torralba · Pushmeet Kohli · Josh Tenenbaum

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #22

Extracting Relationships by Multi-Domain Matching

In Tue Poster Session B

Yitong Li · michael Murias · geraldine Dawson · David Carlson

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #23

Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding

In Tue Poster Session B

Nan Rosemary Ke · Anirudh Goyal ALIAS PARTH GOYAL · Olexa Bilaniuk · Jonathan Binas · Michael Mozer · Chris Pal · Yoshua Bengio

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #24

Beauty-in-averageness and its contextual modulations: A Bayesian statistical account

In Tue Poster Session B

Chaitanya Ryali · Angela J Yu

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #25

Stimulus domain transfer in recurrent models for large scale cortical population prediction on video

In Tue Poster Session B

Fabian Sinz · Alexander Ecker · Paul Fahey · Edgar Walker · Erick Cobos · Emmanouil Froudarakis · Dimitri Yatsenko · Zachary Pitkow · Jacob Reimer · Andreas Tolias

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #26

A probabilistic population code based on neural samples

In Tue Poster Session B

Sabyasachi Shivkumar · Richard Lange · Ankani Chattoraj · Ralf Haefner

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #27

cpSGD: Communication-efficient and differentially-private distributed SGD

In Tue Poster Session B

Naman Agarwal · Ananda Theertha Suresh · Felix Xinnan Yu · Sanjiv Kumar · Brendan McMahan

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #28

Bounded-Loss Private Prediction Markets

In Tue Poster Session B

Rafael Frongillo · Bo Waggoner

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #29

Ex ante coordination and collusion in zero-sum multi-player extensive-form games

In Tue Poster Session B

Gabriele Farina · Andrea Celli · Nicola Gatti · Tuomas Sandholm

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #30

Model-Agnostic Private Learning

In Tue Poster Session B

Raef Bassily · Abhradeep Guha Thakurta · Om Dipakbhai Thakkar

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #31

Adversarially Robust Generalization Requires More Data

In Tue Poster Session B

Ludwig Schmidt · Shibani Santurkar · Dimitris Tsipras · Kunal Talwar · Aleksander Madry

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #32

Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC

In Tue Poster Session B

Tolga Birdal · Umut Simsekli · Mustafa Onur Eken · Slobodan Ilic

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #33

A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices

In Tue Poster Session B

Rudrasis Chakraborty · Chun-Hao Yang · Xingjian Zhen · Monami Banerjee · Derek Archer · David Vaillancourt · Vikas Singh · Baba Vemuri

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #34

Designing by Training: Acceleration Neural Network for Fast High-Dimensional Convolution

In Tue Poster Session B

Longquan Dai · Liang Tang · Yuan Xie · Jinhui Tang

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #35

Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN

In Tue Poster Session B

Shupeng Su · Chao Zhang · Kai Han · Yonghong Tian

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #36

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

In Tue Poster Session B

Stanislav Pidhorskyi · Ranya Almohsen · Gianfranco Doretto

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #37

Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution

In Tue Poster Session B

Zhisheng Zhong · Tiancheng Shen · Yibo Yang · Zhouchen Lin · Chao Zhang

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #38

Compact Generalized Non-local Network

In Tue Poster Session B

Kaiyu Yue · Ming Sun · Yuchen Yuan · Feng Zhou · Errui Ding · Fuxin Xu

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #39

BinGAN: Learning Compact Binary Descriptors with a Regularized GAN

In Tue Poster Session B

Maciej Zieba · Piotr Semberecki · Tarek El-Gaaly · Tomasz Trzcinski

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #40

RenderNet: A deep convolutional network for differentiable rendering from 3D shapes

In Tue Poster Session B

Thu H Nguyen-Phuoc · Chuan Li · Stephen Balaban · Yongliang Yang

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #41

LF-Net: Learning Local Features from Images

In Tue Poster Session B

Yuki Ono · Eduard Trulls · Pascal Fua · Kwang Moo Yi

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #42

Unsupervised Learning of Shape and Pose with Differentiable Point Clouds

In Tue Poster Session B

Eldar Insafutdinov · Alexey Dosovitskiy

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #43

Modelling and unsupervised learning of symmetric deformable object categories

In Tue Poster Session B

James Thewlis · Hakan Bilen · Andrea Vedaldi

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #44

Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation

In Tue Poster Session B

Edward Smith · Scott Fujimoto · David Meger

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #45

Image Inpainting via Generative Multi-column Convolutional Neural Networks

In Tue Poster Session B

Yi Wang · Xin Tao · Xiaojuan Qi · Xiaoyong Shen · Jiaya Jia

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #46

Beyond Grids: Learning Graph Representations for Visual Recognition

In Tue Poster Session B

Yin Li · Abhinav Gupta

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #47

Foreground Clustering for Joint Segmentation and Localization in Videos and Images

In Tue Poster Session B

Abhishek Sharma

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #48

LinkNet: Relational Embedding for Scene Graph

In Tue Poster Session B

Sanghyun Woo · Dahun Kim · Donghyeon Cho · In So Kweon

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210

Context-aware Synthesis and Placement of Object Instances

In Tue Poster Session B

Donghoon Lee · Sifei Liu · Jinwei Gu · Ming-Yu Liu · Ming-Hsuan Yang · Jan Kautz

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #50

Geometry-Aware Recurrent Neural Networks for Active Visual Recognition

In Tue Poster Session B

Ricson Cheng · Ziyan Wang · Katerina Fragkiadaki

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #51

See and Think: Disentangling Semantic Scene Completion

In Tue Poster Session B

Shice Liu · YU HU · Yiming Zeng · Qiankun Tang · Beibei Jin · Yinhe Han · Xiaowei Li

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #52

Active Matting

In Tue Poster Session B

Xin Yang · Ke Xu · Shaozhe Chen · Shengfeng He · Baocai Yin Yin · Rynson Lau

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #53

A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation

In Tue Poster Session B

Alexander H. Liu · Yen-Cheng Liu · Yu-Ying Yeh · Yu-Chiang Frank Wang

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #54

Turbo Learning for CaptionBot and DrawingBot

In Tue Poster Session B

Qiuyuan Huang · Pengchuan Zhang · Dapeng Wu · Lei Zhang

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #55

Dialog-based Interactive Image Retrieval

In Tue Poster Session B

Xiaoxiao Guo · Hui Wu · Yu Cheng · Steven Rennie · Gerald Tesauro · Rogerio Feris

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #56

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation

In Tue Poster Session B

Yuan Li · Xiaodan Liang · Zhiting Hu · Eric Xing

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #57

Sequential Context Encoding for Duplicate Removal

In Tue Poster Session B

Lu Qi · Shu Liu · Jianping Shi · Jiaya Jia

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #58

Hybrid Knowledge Routed Modules for Large-scale Object Detection

In Tue Poster Session B

ChenHan Jiang · Hang Xu · Xiaodan Liang · Liang Lin

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #59

SNIPER: Efficient Multi-Scale Training

In Tue Poster Session B

Bharat Singh · Mahyar Najibi · Larry Davis

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #60

Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection

In Tue Poster Session B

Taylor Mordan · Nicolas THOME · Gilles Henaff · Matthieu Cord

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #61

MetaAnchor: Learning to Detect Objects with Customized Anchors

In Tue Poster Session B

Tong Yang · Xiangyu Zhang · Zeming Li · Wenqiang Zhang · Jian Sun

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #62

Learning Hierarchical Semantic Image Manipulation through Structured Representations

In Tue Poster Session B

Seunghoon Hong · Xinchen Yan · Thomas Huang · Honglak Lee

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #63

Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation

In Tue Poster Session B

Siyuan Huang · Siyuan Qi · Yinxue Xiao · Yixin Zhu · Ying Nian Wu · Song-Chun Zhu

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #64

3D-Aware Scene Manipulation via Inverse Graphics

In Tue Poster Session B

Shunyu Yao · Tzu Ming Hsu · Jun-Yan Zhu · Jiajun Wu · Antonio Torralba · Bill Freeman · Josh Tenenbaum

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #65

FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification

In Tue Poster Session B

Yixiao Ge · Zhuowan Li · Haiyu Zhao · Guojun Yin · Shuai Yi · Xiaogang Wang · hongsheng Li

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #66

Sequence-to-Segment Networks for Segment Detection

In Tue Poster Session B

Zijun Wei · Boyu Wang · Minh Hoai Nguyen · Jianming Zhang · Zhe Lin · Xiaohui Shen · Radomir Mech · Dimitris Samaras

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #67

Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning

In Tue Poster Session B

yunlong yu · Zhong Ji · Yanwei Fu · Jichang Guo · Yanwei Pang · Zhongfei (Mark) Zhang

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #68

DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning

In Tue Poster Session B

Runsheng Yu · Wenyu Liu · Yasen Zhang · Zhi Qu · Deli Zhao · Bo Zhang

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #69

Self-Erasing Network for Integral Object Attention

In Tue Poster Session B

Qibin Hou · PengTao Jiang · Yunchao Wei · Ming-Ming Cheng

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #70

Searching for Efficient Multi-Scale Architectures for Dense Image Prediction

In Tue Poster Session B

Maxwell Collins · Maxwell Collins · Yukun Zhu · George Papandreou · Barret Zoph · Florian Schroff · Bo Chen · Jon Shlens

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #71

DifNet: Semantic Segmentation by Diffusion Networks

In Tue Poster Session B

Peng Jiang · Fanglin Gu · Yunhai Wang · Changhe Tu · Baoquan Chen

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #72

Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization

In Tue Poster Session B

Jie Cao · Yibo Hu · Hongwen Zhang · Ran He · Zhenan Sun

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #73

Attention in Convolutional LSTM for Gesture Recognition

In Tue Poster Session B

Liang Zhang · Guangming Zhu · Lin Mei · Peiyi Shen · Syed Afaq Ali Shah · Mohammed Bennamoun

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #74

Partially-Supervised Image Captioning

In Tue Poster Session B

Peter Anderson · Stephen Gould · Mark Johnson

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #75

Learning to Specialize with Knowledge Distillation for Visual Question Answering

In Tue Poster Session B

Jonghwan Mun · Kimin Lee · Jinwoo Shin · Bohyung Han

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #76

Chain of Reasoning for Visual Question Answering

In Tue Poster Session B

Chenfei Wu · Jinlai Liu · Xiaojie Wang · Xuan Dong

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #77

Learning Conditioned Graph Structures for Interpretable Visual Question Answering

In Tue Poster Session B

Will Norcliffe-Brown · Stathis Vafeias · Sarah Parisot

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #78

Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering

In Tue Poster Session B

Medhini Narasimhan · Svetlana Lazebnik · Alexander Schwing

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #79

Overcoming Language Priors in Visual Question Answering with Adversarial Regularization

In Tue Poster Session B

Sainandan Ramakrishnan · Aishwarya Agrawal · Stefan Lee

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #80

Non-Local Recurrent Network for Image Restoration

In Tue Poster Session B

Ding Liu · Bihan Wen · Yuchen Fan · Chen Change Loy · Thomas Huang

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #81

Neural Nearest Neighbors Networks

In Tue Poster Session B

Tobias Plötz · Stefan Roth

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #82

Training deep learning based denoisers without ground truth data

In Tue Poster Session B

Shakarim Soltanayev · Se Young Chun

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #83

Adversarial Regularizers in Inverse Problems

In Tue Poster Session B

Sebastian Lunz · Carola Schoenlieb · Ozan Öktem

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #84

Densely Connected Attention Propagation for Reading Comprehension

In Tue Poster Session B

Yi Tay · Anh Tuan Luu · Siu Cheung Hui · Jian Su

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #85

Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation

In Tue Poster Session B

Tianyu He · Xu Tan · Yingce Xia · Di He · Tao Qin · Zhibo Chen · Tie-Yan Liu

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #86

e-SNLI: Natural Language Inference with Natural Language Explanations

In Tue Poster Session B

Oana-Maria Camburu · Tim Rocktäschel · Thomas Lukasiewicz · Phil Blunsom

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #87

The challenge of realistic music generation: modelling raw audio at scale

In Tue Poster Session B

Sander Dieleman · Aaron van den Oord · Karen Simonyan

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #88

Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices

In Tue Poster Session B

Jinhwan Park · Yoonho Boo · Iksoo Choi · Sungho Shin · Wonyong Sung

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #89

Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis

In Tue Poster Session B

Ye Jia · Yu Zhang · Ron Weiss · Quan Wang · Jonathan Shen · Fei Ren · zhifeng Chen · Patrick Nguyen · Ruoming Pang · Ignacio Lopez Moreno · Yonghui Wu

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #90

SING: Symbol-to-Instrument Neural Generator

In Tue Poster Session B

Alexandre Defossez · Neil Zeghidour · Nicolas Usunier · Leon Bottou · Francis Bach

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #91

Neural Voice Cloning with a Few Samples

In Tue Poster Session B

Sercan Arik · Jitong Chen · Kainan Peng · Wei Ping · Yanqi Zhou

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #92

GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking

In Tue Poster Session B

Patrick Chen · Si Si · Yang Li · Ciprian Chelba · Cho-Jui Hsieh

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #93

Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base

In Tue Poster Session B

Daya Guo · Duyu Tang · Nan Duan · Ming Zhou · Jian Yin

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #94

Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization

In Tue Poster Session B

Yizhe Zhang · Michel Galley · Jianfeng Gao · Zhe Gan · Xiujun Li · Chris Brockett · Bill Dolan

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #95

Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog

In Tue Poster Session B

Sang-Woo Lee · Yu-Jung Heo · Byoung-Tak Zhang

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #96

Trajectory Convolution for Action Recognition

In Tue Poster Session B

Yue Zhao · Guneet Singh Dhillon · Dahua Lin

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #97

Video Prediction via Selective Sampling

In Tue Poster Session B

Jingwei Xu · Bingbing Ni · Xiaokang Yang

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #98

Unsupervised Learning of Artistic Styles with Archetypal Style Analysis

In Tue Poster Session B

Daan Wynen · Cordelia Schmid · Julien Mairal

 Paper »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #99

Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples

In Tue Poster Session B

Guanhong Tao · Shiqing Ma · Yingqi Liu · Xiangyu Zhang

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 210 #100

Speaker-Follower Models for Vision-and-Language Navigation

In Tue Poster Session B

Daniel Fried · Ronghang Hu · Volkan Cirik · Anna Rohrbach · Jacob Andreas · Louis-Philippe Morency · Taylor Berg-Kirkpatrick · Kate Saenko · Dan Klein · Trevor Darrell

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #101

Neural Code Comprehension: A Learnable Representation of Code Semantics

In Tue Poster Session B

Tal Ben-Nun · Alice Shoshana Jakobovits · Torsten Hoefler

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #102

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare

In Tue Poster Session B

Edward Choi · Cao Xiao · Walter Stewart · Jimeng Sun

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #103

Distilled Wasserstein Learning for Word Embedding and Topic Modeling

In Tue Poster Session B

Hongteng Xu · Wenlin Wang · Wei Liu · Lawrence Carin

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #104

Learning to Optimize Tensor Programs

In Tue Poster Session B

Tianqi Chen · Lianmin Zheng · Eddie Yan · Ziheng Jiang · Thierry Moreau · Luis Ceze · Carlos Guestrin · Arvind Krishnamurthy

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #105

Learning to Solve SMT Formulas

In Tue Poster Session B

Mislav Balunovic · Pavol Bielik · Martin Vechev

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #106

Data center cooling using model-predictive control

In Tue Poster Session B

Nevena Lazic · Craig Boutilier · Tyler Lu · Eehern Wong · Binz Roy · MK Ryu · Greg Imwalle

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #107

Bayesian Inference of Temporal Task Specifications from Demonstrations

In Tue Poster Session B

Ankit Shah · Pritish Kamath · Julie A Shah · Shen Li

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #108

Training Deep Neural Networks with 8-bit Floating Point Numbers

In Tue Poster Session B

Naigang Wang · Jungwook Choi · Daniel Brand · Chia-Yu Chen · Kailash Gopalakrishnan

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #109

Snap ML: A Hierarchical Framework for Machine Learning

In Tue Poster Session B

Celestine Dünner · Thomas Parnell · Dimitrios Sarigiannis · Nikolas Ioannou · Andreea Anghel · Gummadi Ravi · Madhusudanan Kandasamy · Haralampos Pozidis

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #110

Learning filter widths of spectral decompositions with wavelets

In Tue Poster Session B

Haidar Khan · Bulent Yener

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #111

A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks

In Tue Poster Session B

Jeffrey Chan · Valerio Perrone · Jeffrey Spence · Paul Jenkins · Sara Mathieson · Yun Song

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #112

Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments

In Tue Poster Session B

Daniel Johnson · Daniel Gorelik · Ross E Mawhorter · Kyle Suver · Weiqing Gu · Steven Xing · Cody Gabriel · Peter Sankhagowit

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #113

Inferring Latent Velocities from Weather Radar Data using Gaussian Processes

In Tue Poster Session B

Rico Angell · Daniel Sheldon

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #114

Bayesian Nonparametric Spectral Estimation

In Tue Poster Session B

Felipe Tobar

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #115

Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders

In Tue Poster Session B

Abubakar Abid · James Zou

 Paper »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #116

Precision and Recall for Time Series

In Tue Poster Session B

Nesime Tatbul · Tae Jun Lee · Stan Zdonik · Mejbah Alam · Justin Gottschlich

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #117

Deep Generative Markov State Models

In Tue Poster Session B

Hao Wu · Andreas Mardt · Luca Pasquali · Frank Noe

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #118

Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with ββ-Divergences

In Tue Poster Session B

Jeremias Knoblauch · Jack E Jewson · Theodoros Damoulas

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #119

Regularization Learning Networks: Deep Learning for Tabular Datasets

In Tue Poster Session B

Ira Shavitt · Eran Segal

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #120

Generative modeling for protein structures

In Tue Poster Session B

Namrata Anand · Possu Huang

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #121

Geometry Based Data Generation

In Tue Poster Session B

Ofir Lindenbaum · Jay Stanley · Guy Wolf · Smita Krishnaswamy

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #122

Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra

In Tue Poster Session B

John T Halloran · David M Rocke

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #123

Generalizing Tree Probability Estimation via Bayesian Networks

In Tue Poster Session B

Cheng Zhang · Frederick A Matsen IV

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #124

Learning Temporal Point Processes via Reinforcement Learning

In Tue Poster Session B

Shuang Li · Shuai Xiao · Shixiang Zhu · Nan Du · Yao Xie · Le Song

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #125

Exponentially Weighted Imitation Learning for Batched Historical Data

In Tue Poster Session B

Qing Wang · Jiechao Xiong · Lei Han · peng sun · Han Liu · Tong Zhang

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #126

Evidential Deep Learning to Quantify Classification Uncertainty

In Tue Poster Session B

Murat Sensoy · Lance Kaplan · Melih Kandemir

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #127

Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives

In Tue Poster Session B

Amit Dhurandhar · Pin-Yu Chen · Ronny Luss · Chun-Chen Tu · Paishun Ting · Karthikeyan Shanmugam · Payel Das

 Paper »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #128

Towards Robust Interpretability with Self-Explaining Neural Networks

In Tue Poster Session B

David Alvarez Melis · Tommi Jaakkola

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #129

Model Agnostic Supervised Local Explanations

In Tue Poster Session B

Gregory Plumb · Denali Molitor · Ameet Talwalkar

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #130

To Trust Or Not To Trust A Classifier

In Tue Poster Session B

Heinrich Jiang · Been Kim · Melody Guan · Maya Gupta

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #131

Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer

In Tue Poster Session B

David Madras · Toni Pitassi · Richard Zemel

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #132

Hunting for Discriminatory Proxies in Linear Regression Models

In Tue Poster Session B

Samuel Yeom · Anupam Datta · Matt Fredrikson

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #133

Empirical Risk Minimization Under Fairness Constraints

In Tue Poster Session B

Michele Donini · Luca Oneto · Shai Ben-David · John Shawe-Taylor · Massimiliano Pontil

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #134

Approximation algorithms for stochastic clustering

In Tue Poster Session B

David Harris · Shi Li · Aravind Srinivasan · Khoa Trinh · Thomas Pensyl

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #135

Re-evaluating evaluation

In Tue Poster Session B

David Balduzzi · Karl Tuyls · Julien Perolat · Thore Graepel

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #136

Does mitigating ML's impact disparity require treatment disparity?

In Tue Poster Session B

Zachary Lipton · Julian McAuley · Alexandra Chouldechova

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #137

Enhancing the Accuracy and Fairness of Human Decision Making

In Tue Poster Session B

Isabel Valera · Adish Singla · Manuel Gomez Rodriguez

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #138

The Price of Fair PCA: One Extra dimension

In Tue Poster Session B

Samira Samadi · Uthaipon Tantipongpipat · Jamie Morgenstern · Mohit Singh · Santosh Vempala

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #139

Practical Methods for Graph Two-Sample Testing

In Tue Poster Session B

Debarghya Ghoshdastidar · Ulrike von Luxburg

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #140

Topkapi: Parallel and Fast Sketches for Finding Top-K Frequent Elements

In Tue Poster Session B

Ankush Mandal · He Jiang · Anshumali Shrivastava · Vivek Sarkar

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #141

KDGAN: Knowledge Distillation with Generative Adversarial Networks

In Tue Poster Session B

Xiaojie Wang · Rui Zhang · Yu Sun · Jianzhong Qi

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #142

Modeling Dynamic Missingness of Implicit Feedback for Recommendation

In Tue Poster Session B

Menghan Wang · Mingming Gong · Xiaolin Zheng · Kun Zhang

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #143

Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence

In Tue Poster Session B

Trong Dinh Thac Do · Longbing Cao

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #144

Non-metric Similarity Graphs for Maximum Inner Product Search

In Tue Poster Session B

Stanislav Morozov · Artem Babenko

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #145

Norm-Ranging LSH for Maximum Inner Product Search

In Tue Poster Session B

Xiao Yan · Jinfeng Li · Xinyan Dai · Hongzhi Chen · James Cheng

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #146

A Dual Framework for Low-rank Tensor Completion

In Tue Poster Session B

Madhav Nimishakavi · Pratik Kumar Jawanpuria · Bamdev Mishra

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #147

Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch

In Tue Poster Session B

Osman Asif Malik · Stephen Becker

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #148

Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization

In Tue Poster Session B

Zhihui Zhu · Xiao Li · Kai Liu · Qiuwei Li

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #149

Semidefinite relaxations for certifying robustness to adversarial examples

In Tue Poster Session B

Aditi Raghunathan · Jacob Steinhardt · Percy Liang

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #150

Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences

In Tue Poster Session B

Borja Balle · Gilles Barthe · Marco Gaboardi

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #151

Differentially Private Testing of Identity and Closeness of Discrete Distributions

In Tue Poster Session B

Jayadev Acharya · Ziteng Sun · Huanyu Zhang

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #152

Differentially Private k-Means with Constant Multiplicative Error

In Tue Poster Session B

Uri Stemmer · Haim Kaplan

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #153

Local Differential Privacy for Evolving Data

In Tue Poster Session B

Matthew Joseph · Aaron Roth · Jonathan Ullman · Bo Waggoner

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #154

Adversarial Attacks on Stochastic Bandits

In Tue Poster Session B

Kwang-Sung Jun · Lihong Li · Yuzhe Ma · Jerry Zhu

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #155

Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization

In Tue Poster Session B

Bargav Jayaraman · Lingxiao Wang · David Evans · Quanquan Gu

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #156

A Spectral View of Adversarially Robust Features

In Tue Poster Session B

Shivam Garg · Vatsal Sharan · Brian Zhang · Gregory Valiant

 Paper »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #157

Efficient Formal Safety Analysis of Neural Networks

In Tue Poster Session B

Shiqi Wang · Kexin Pei · Justin Whitehouse · Junfeng Yang · Suman Jana

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #158

Contamination Attacks and Mitigation in Multi-Party Machine Learning

In Tue Poster Session B

Jamie Hayes · Olga Ohrimenko

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #159

Explaining Deep Learning Models -- A Bayesian Non-parametric Approach

In Tue Poster Session B

Wenbo Guo · Sui Huang · Yunzhe Tao · Xinyu Xing · Lin Lin

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #160

Data-Driven Clustering via Parameterized Lloyd's Families

In Tue Poster Session B

Maria-Florina Balcan · Travis Dick · Colin White

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #161

Manifold Structured Prediction

In Tue Poster Session B

Alessandro Rudi · Carlo Ciliberto · GianMaria Marconi · Lorenzo Rosasco

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #162

Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs

In Tue Poster Session B

Timur Garipov · Pavel Izmailov · Dmitrii Podoprikhin · Dmitry Vetrov · Andrew Wilson

 Paper »   Poster »   3-Minute-Video » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #163

Masking: A New Perspective of Noisy Supervision

In Tue Poster Session B

Bo Han · Jiangchao Yao · Gang Niu · Mingyuan Zhou · Ivor Tsang · Ya Zhang · Masashi Sugiyama

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #164

Supervising Unsupervised Learning

In Tue Poster Session B

Vikas Garg · Adam Kalai

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #165

One-Shot Unsupervised Cross Domain Translation

In Tue Poster Session B

Sagie Benaim · Lior Wolf

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #166

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

In Tue Poster Session B

Kirthevasan Kandasamy · Willie Neiswanger · Jeff Schneider · Barnabas Poczos · Eric Xing

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #167

Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning

In Tue Poster Session B

Tyler Scott · Karl Ridgeway · Michael Mozer

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #168

Completing State Representations using Spectral Learning

In Tue Poster Session B

Nan Jiang · Alex Kulesza · Satinder Singh

 Paper »   Poster » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #169

Data-Efficient Hierarchical Reinforcement Learning

In Tue Poster Session B

Ofir Nachum · Shixiang (Shane) Gu · Honglak Lee · Sergey Levine

 Paper » 

Poster

Tue Dec 4th 05:00 -- 07:00 PM @ Room 517 AB #170

The Cluster Description Problem - Complexity Results, Formulations and Approximations

In Tue Poster Session B

Ian Davidson · Antoine Gourru · S Ravi

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #1

Balanced Policy Evaluation and Learning

In Wed Poster Session A

Nathan Kallus

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #2

Exponentiated Strongly Rayleigh Distributions

In Wed Poster Session A

Zelda Mariet · Suvrit Sra · Stefanie Jegelka

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #3

Parsimonious Bayesian deep networks

In Wed Poster Session A

Mingyuan Zhou

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #4

Stein Variational Gradient Descent as Moment Matching

In Wed Poster Session A

Qiang Liu · Dilin Wang

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #5

Hamiltonian Variational Auto-Encoder

In Wed Poster Session A

Anthony L Caterini · Arnaud Doucet · Dino Sejdinovic

 Paper »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #6

Predictive Approximate Bayesian Computation via Saddle Points

In Wed Poster Session A

Yingxiang Yang · Bo Dai · Negar Kiyavash · Niao He

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #7

Importance Weighting and Variational Inference

In Wed Poster Session A

Justin Domke · Daniel Sheldon

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #8

Orthogonally Decoupled Variational Gaussian Processes

In Wed Poster Session A

Hugh Salimbeni · Ching-An Cheng · Byron Boots · Marc Deisenroth

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #9

ATOMO: Communication-efficient Learning via Atomic Sparsification

In Wed Poster Session A

Hongyi Wang · Scott Sievert · Shengchao Liu · Zachary Charles · Dimitris Papailiopoulos · Stephen Wright

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #10

Sparsified SGD with Memory

In Wed Poster Session A

Sebastian Stich · Jean-Baptiste Cordonnier · Martin Jaggi

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #11

SEGA: Variance Reduction via Gradient Sketching

In Wed Poster Session A

Filip Hanzely · Konstantin Mishchenko · Peter Richtarik

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #12

Non-monotone Submodular Maximization in Exponentially Fewer Iterations

In Wed Poster Session A

Eric Balkanski · Adam Breuer · Yaron Singer

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #13

Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity

In Wed Poster Session A

Conghui Tan · Tong Zhang · Shiqian Ma · Ji Liu

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #14

Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes

In Wed Poster Session A

Junqi Tang · Mohammad Golbabaee · Francis Bach · Mike E davies

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #15

Inexact trust-region algorithms on Riemannian manifolds

In Wed Poster Session A

Hiroyuki Kasai · Bamdev Mishra

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #16

On Markov Chain Gradient Descent

In Wed Poster Session A

Tao Sun · Yuejiao Sun · Wotao Yin

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #17

Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation

In Wed Poster Session A

Zhiqiang Xu

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #18

Global Non-convex Optimization with Discretized Diffusions

In Wed Poster Session A

Murat A Erdogdu · Lester Mackey · Ohad Shamir

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #19

A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization

In Wed Poster Session A

Cedric Josz · Yi Ouyang · Richard Zhang · Javad Lavaei · Somayeh Sojoudi

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #20

The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization

In Wed Poster Session A

Constantinos Daskalakis · Ioannis Panageas

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #21

Porcupine Neural Networks: Approximating Neural Network Landscapes

In Wed Poster Session A

Soheil Feizi · Hamid Javadi · Jesse Zhang · David Tse

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #22

Adding One Neuron Can Eliminate All Bad Local Minima

In Wed Poster Session A

SHIYU LIANG · Ruoyu Sun · Jason Lee · R. Srikant

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #23

Improving Explorability in Variational Inference with Annealed Variational Objectives

In Wed Poster Session A

Chin-Wei Huang · Shawn Tan · Alexandre Lacoste · Aaron Courville

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #24

Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects

In Wed Poster Session A

Adam Kosiorek · Hyunjik Kim · Yee Whye Teh · Ingmar Posner

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #25

Delta-encoder: an effective sample synthesis method for few-shot object recognition

In Wed Poster Session A

Eli Schwartz · Leonid Karlinsky · Joseph Shtok · Sivan Harary · Mattias Marder · Abhishek Kumar · Rogerio Feris · Raja Giryes · Alex Bronstein

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #26

Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding

In Wed Poster Session A

Hajin Shim · Sung Ju Hwang · Eunho Yang

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #27

PCA of high dimensional random walks with comparison to neural network training

In Wed Poster Session A

Joseph Antognini · Jascha Sohl-Dickstein

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #28

Insights on representational similarity in neural networks with canonical correlation

In Wed Poster Session A

Ari Morcos · Maithra Raghu · Samy Bengio

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #29

Adversarial vulnerability for any classifier

In Wed Poster Session A

Alhussein Fawzi · Hamza Fawzi · Omar Fawzi

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #30

Sanity Checks for Saliency Maps

In Wed Poster Session A

Julius Adebayo · Justin Gilmer · Michael Muelly · Ian Goodfellow · Moritz Hardt · Been Kim

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #31

MetaGAN: An Adversarial Approach to Few-Shot Learning

In Wed Poster Session A

Ruixiang ZHANG · Tong Che · Zoubin Ghahramani · Yoshua Bengio · Yangqiu Song

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #32

Deep Generative Models with Learnable Knowledge Constraints

In Wed Poster Session A

Zhiting Hu · Zichao Yang · Ruslan Salakhutdinov · LIANHUI Qin · Xiaodan Liang · Haoye Dong · Eric Xing

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #33

Learning Attractor Dynamics for Generative Memory

In Wed Poster Session A

Yan Wu · Gregory Wayne · Karol Gregor · Timothy Lillicrap

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #34

Fast deep reinforcement learning using online adjustments from the past

In Wed Poster Session A

Steven Hansen · Alexander Pritzel · Pablo Sprechmann · Andre Barreto · Charles Blundell

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #35

Blockwise Parallel Decoding for Deep Autoregressive Models

In Wed Poster Session A

Mitchell Stern · Noam Shazeer · Jakob Uszkoreit

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #36

Automatic Program Synthesis of Long Programs with a Learned Garbage Collector

In Wed Poster Session A

Amit Zohar · Lior Wolf

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #37

The Global Anchor Method for Quantifying Linguistic Shifts and Domain Adaptation

In Wed Poster Session A

Zi Yin · Vin Sachidananda · Balaji Prabhakar

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #38

End-to-End Differentiable Physics for Learning and Control

In Wed Poster Session A

Filipe de Avila Belbute-Peres · Kevin Smith · Kelsey Allen · Josh Tenenbaum · J. Zico Kolter

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #39

Neural Arithmetic Logic Units

In Wed Poster Session A

Andrew Trask · Felix Hill · Scott Reed · Jack Rae · Chris Dyer · Phil Blunsom

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #40

Reinforced Continual Learning

In Wed Poster Session A

Ju Xu · Zhanxing Zhu

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #41

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks

In Wed Poster Session A

Ali Shafahi · W. Ronny Huang · Mahyar Najibi · Octavian Suciu · Christoph Studer · Tudor Dumitras · Tom Goldstein

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #42

Generalizing to Unseen Domains via Adversarial Data Augmentation

In Wed Poster Session A

Riccardo Volpi · Hongseok Namkoong · Ozan Sener · John Duchi · Vittorio Murino · Silvio Savarese

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #43

On the Local Hessian in Back-propagation

In Wed Poster Session A

Huishuai Zhang · Wei Chen · Tie-Yan Liu

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #44

Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks

In Wed Poster Session A

Yusuke Tsuzuku · Issei Sato · Masashi Sugiyama

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #45

Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming

In Wed Poster Session A

Bart van Merrienboer · Dan Moldovan · Alexander Wiltschko

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #46

Simple, Distributed, and Accelerated Probabilistic Programming

In Wed Poster Session A

Dustin Tran · Matthew Hoffman · Dave Moore · Christopher Suter · Srinivas Vasudevan · Alexey Radul · Matthew Johnson · Rif A. Saurous

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #47

Power-law efficient neural codes provide general link between perceptual bias and discriminability

In Wed Poster Session A

Michael Morais · Jonathan W Pillow

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #48

DropBlock: A regularization method for convolutional networks

In Wed Poster Session A

Golnaz Ghiasi · Tsung-Yi Lin · Quoc V Le

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #49

Learning sparse neural networks via sensitivity-driven regularization

In Wed Poster Session A

Enzo Tartaglione · Skjalg Lepsøy · Attilio Fiandrotti · Gianluca Francini

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #50

Critical initialisation for deep signal propagation in noisy rectifier neural networks

In Wed Poster Session A

Arnu Pretorius · Elan van Biljon · Steve Kroon · Herman Kamper

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #51

The streaming rollout of deep networks - towards fully model-parallel execution

In Wed Poster Session A

Volker Fischer · Jan Koehler · Thomas Pfeil

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #52

The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network

In Wed Poster Session A

Jeffrey Pennington · Pratik Worah

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #53

Learning Optimal Reserve Price against Non-myopic Bidders

In Wed Poster Session A

Jinyan Liu · Zhiyi Huang · Xiangning Wang

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #54

Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo

In Wed Poster Session A

HOLDEN LEE · Andrej Risteski · Rong Ge

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #55

On Binary Classification in Extreme Regions

In Wed Poster Session A

Hamid JALALZAI · Stephan Clémençon · Anne Sabourin

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #56

PAC-Bayes bounds for stable algorithms with instance-dependent priors

In Wed Poster Session A

Omar Rivasplata · Csaba Szepesvari · John Shawe-Taylor · Emilio Parrado-Hernandez · Shiliang Sun

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #57

Improved Algorithms for Collaborative PAC Learning

In Wed Poster Session A

Huy Nguyen · Lydia Zakynthinou

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #58

Data Amplification: A Unified and Competitive Approach to Property Estimation

In Wed Poster Session A

Yi HAO · Alon Orlitsky · Ananda Theertha Suresh · Yihong Wu

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #59

Mean-field theory of graph neural networks in graph partitioning

In Wed Poster Session A

Tatsuro Kawamoto · Masashi Tsubaki · Tomoyuki Obuchi

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #60

Statistical mechanics of low-rank tensor decomposition

In Wed Poster Session A

Jonathan Kadmon · Surya Ganguli

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #61

Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis

In Wed Poster Session A

Alyson Fletcher · Parthe Pandit · Sundeep Rangan · Subrata Sarkar · Philip Schniter

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #62

The Description Length of Deep Learning models

In Wed Poster Session A

Léonard Blier · Yann Ollivier

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #63

Deepcode: Feedback Codes via Deep Learning

In Wed Poster Session A

Hyeji Kim · Yihan Jiang · Sreeram Kannan · Sewoong Oh · Pramod Viswanath

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #64

Binary Rating Estimation with Graph Side Information

In Wed Poster Session A

Kwangjun Ahn · Kangwook Lee · Hyunseung Cha · Changho Suh

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #65

Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates

In Wed Poster Session A

Yining Wang · Sivaraman Balakrishnan · Aarti Singh

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #66

Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks

In Wed Poster Session A

Grant Rotskoff · Eric Vanden-Eijnden

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #67

Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization

In Wed Poster Session A

Tianyi Liu · Shiyang Li · Jianping Shi · Enlu Zhou · Tuo Zhao

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #68

Asymptotic optimality of adaptive importance sampling

In Wed Poster Session A

François Portier · Bernard Delyon

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #69

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing

In Wed Poster Session A

Zehong Hu · Yitao Liang · Jie Zhang · Zhao Li · Yang Liu

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #70

A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers

In Wed Poster Session A

Omer Ben-Porat · Moshe Tennenholtz

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #71

A Mathematical Model For Optimal Decisions In A Representative Democracy

In Wed Poster Session A

Malik Magdon-Ismail · Lirong Xia

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #72

Universal Growth in Production Economies

In Wed Poster Session A

Simina Branzei · Ruta Mehta · Noam Nisan

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #73

Convex Elicitation of Continuous Properties

In Wed Poster Session A

Jessica Finocchiaro · Rafael Frongillo

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #74

Contextual Pricing for Lipschitz Buyers

In Wed Poster Session A

Jieming Mao · Renato Leme · Jon Schneider

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #75

Learning in Games with Lossy Feedback

In Wed Poster Session A

Zhengyuan Zhou · Panayotis Mertikopoulos · Susan Athey · Nicholas Bambos · Peter W Glynn · Yinyu Ye

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #76

Multiplicative Weights Updates with Constant Step-Size in Graphical Constant-Sum Games

In Wed Poster Session A

Yun Kuen Cheung

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #77

Solving Large Sequential Games with the Excessive Gap Technique

In Wed Poster Session A

Christian Kroer · Gabriele Farina · Tuomas Sandholm

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #78

Practical exact algorithm for trembling-hand equilibrium refinements in games

In Wed Poster Session A

Gabriele Farina · Nicola Gatti · Tuomas Sandholm

 Paper »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #79

Improving Online Algorithms via ML Predictions

In Wed Poster Session A

Manish Purohit · Zoya Svitkina · Ravi Kumar

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #80

Variance-Reduced Stochastic Gradient Descent on Streaming Data

In Wed Poster Session A

Ellango Jothimurugesan · Ashraf Tahmasbi · Phillip Gibbons · Srikanta Tirthapura

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #81

Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator

In Wed Poster Session A

Sarah Dean · Horia Mania · Nikolai Matni · Benjamin Recht · Stephen Tu

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #82

PAC-learning in the presence of adversaries

In Wed Poster Session A

Daniel Cullina · Arjun Nitin Bhagoji · Prateek Mittal

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #83

Tight Bounds for Collaborative PAC Learning via Multiplicative Weights

In Wed Poster Session A

Jiecao Chen · Qin Zhang · Yuan Zhou

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #84

Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units

In Wed Poster Session A

Yixi Xu · Xiao Wang

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #85

Generalization Bounds for Uniformly Stable Algorithms

In Wed Poster Session A

Vitaly Feldman · Jan Vondrak

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #86

Minimax Statistical Learning with Wasserstein distances

In Wed Poster Session A

Jaeho Lee · Maxim Raginsky

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #87

Differentially Private Uniformly Most Powerful Tests for Binomial Data

In Wed Poster Session A

Jordan Awan · Aleksandra Slavković

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #88

Sketching Method for Large Scale Combinatorial Inference

In Wed Poster Session A

Wei Sun · Junwei Lu · Han Liu

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #89

An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression

In Wed Poster Session A

Sheng Chen · Arindam Banerjee

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #90

MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization

In Wed Poster Session A

Ian En-Hsu Yen · Wei-Cheng Lee · Kai Zhong · Sung-En Chang · Pradeep Ravikumar · Shou-De Lin

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #91

A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice

In Wed Poster Session A

Hendrik Fichtenberger · Dennis Rohde

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #92

Sharp Bounds for Generalized Uniformity Testing

In Wed Poster Session A

Ilias Diakonikolas · Daniel M. Kane · Alistair Stewart

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #93

Testing for Families of Distributions via the Fourier Transform

In Wed Poster Session A

Alistair Stewart · Ilias Diakonikolas · Clement Canonne

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #94

High Dimensional Linear Regression using Lattice Basis Reduction

In Wed Poster Session A

Ilias Zadik · David Gamarnik

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #95

ℓ1ℓ1-regression with Heavy-tailed Distributions

In Wed Poster Session A

Lijun Zhang · Zhi-Hua Zhou

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #96

Constant Regret, Generalized Mixability, and Mirror Descent

In Wed Poster Session A

Zakaria Mhammedi · Robert Williamson

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #97

Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities

In Wed Poster Session A

Yunwen Lei · Ke Tang

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #98

Uniform Convergence of Gradients for Non-Convex Learning and Optimization

In Wed Poster Session A

Dylan Foster · Ayush Sekhari · Karthik Sridharan

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #99

Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions

In Wed Poster Session A

Mingrui Liu · Xiaoxuan Zhang · Lijun Zhang · Jing Rong · Tianbao Yang

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 210 #100

Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes

In Wed Poster Session A

Hassan Ashtiani · Shai Ben-David · Nicholas Harvey · Christopher Liaw · Abbas Mehrabian · Yaniv Plan

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #101

Early Stopping for Nonparametric Testing

In Wed Poster Session A

Meimei Liu · Guang Cheng

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #102

Chaining Mutual Information and Tightening Generalization Bounds

In Wed Poster Session A

Amir Asadi · Emmanuel Abbe · Sergio Verdu

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #103

Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds

In Wed Poster Session A

Yik Chau (Kry) Lui · Gavin Weiguang Ding · Ruitong Huang · Robert McCann

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #104

Minimax Estimation of Neural Net Distance

In Wed Poster Session A

Kaiyi Ji · Yingbin Liang

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #105

Quantifying Learning Guarantees for Convex but Inconsistent Surrogates

In Wed Poster Session A

Kirill Struminsky · Simon Lacoste-Julien · Anton Osokin

 Paper »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #106

Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem

In Wed Poster Session A

Victor-Emmanuel Brunel

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #107

Data-dependent PAC-Bayes priors via differential privacy

In Wed Poster Session A

Gintare Karolina Dziugaite · Daniel Roy

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #108

Computationally and statistically efficient learning of causal Bayes nets using path queries

In Wed Poster Session A

Kevin Bello · Jean Honorio

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #109

PAC-Bayes Tree: weighted subtrees with guarantees

In Wed Poster Session A

Tin D Nguyen · Samory Kpotufe

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #110

A loss framework for calibrated anomaly detection

In Wed Poster Session A

Aditya Menon · Robert Williamson

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #111

On Oracle-Efficient PAC RL with Rich Observations

In Wed Poster Session A

Christoph Dann · Nan Jiang · Akshay Krishnamurthy · Alekh Agarwal · John Langford · Robert Schapire

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #112

Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution

In Wed Poster Session A

Dimitrios Diochnos · Saeed Mahloujifar · Mohammad Mahmoody

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #113

Learning from discriminative feature feedback

In Wed Poster Session A

Sanjoy Dasgupta · Sivan Sabato · Nicholas Roberts · Akansha Dey

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #114

How to Start Training: The Effect of Initialization and Architecture

In Wed Poster Session A

Boris Hanin · David Rolnick

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #115

Bilevel Distance Metric Learning for Robust Image Recognition

In Wed Poster Session A

Jie Xu · Lei Luo · Cheng Deng · Heng Huang

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #116

Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation

In Wed Poster Session A

Wenqi Ren · Jiawei Zhang · Lin Ma · Jinshan Pan · Xiaochun Cao · Wangmeng Zuo · Wei Liu · Ming-Hsuan Yang

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #117

Unsupervised Depth Estimation, 3D Face Rotation and Replacement

In Wed Poster Session A

Joel Ruben Antony Moniz · Christopher Beckham · Simon Rajotte · Sina Honari · Chris Pal

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #118

Neighbourhood Consensus Networks

In Wed Poster Session A

Ignacio Rocco · Mircea Cimpoi · Relja Arandjelović · Akihiko Torii · Tomas Pajdla · Josef Sivic

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #119

Recurrent Transformer Networks for Semantic Correspondence

In Wed Poster Session A

Seungryong Kim · Stephen Lin · SANG RYUL JEON · Dongbo Min · Kwanghoon Sohn

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #120

Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images

In Wed Poster Session A

Andrei Zanfir · Elisabeta Marinoiu · Mihai Zanfir · Alin-Ionut Popa · Cristian Sminchisescu

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #121

A Neural Compositional Paradigm for Image Captioning

In Wed Poster Session A

Bo Dai · Sanja Fidler · Dahua Lin

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #122

Visual Memory for Robust Path Following

In Wed Poster Session A

Ashish Kumar · Saurabh Gupta · David Fouhey · Sergey Levine · Jitendra Malik

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #123

Learning to Exploit Stability for 3D Scene Parsing

In Wed Poster Session A

Yilun Du · Zhijian Liu · Hector Basevi · Ales Leonardis · Bill Freeman · Josh Tenenbaum · Jiajun Wu

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #124

Learning to Decompose and Disentangle Representations for Video Prediction

In Wed Poster Session A

Jun-Ting Hsieh · Bingbin Liu · De-An Huang · Li Fei-Fei · Juan Carlos Niebles

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #125

Weakly Supervised Dense Event Captioning in Videos

In Wed Poster Session A

Xin Wang · Wenbing Huang · Chuang Gan · Jingdong Wang · Wenwu Zhu · Junzhou Huang

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #126

Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language

In Wed Poster Session A

Seonghyeon Nam · Yunji Kim · Seon Joo Kim

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #127

A Probabilistic U-Net for Segmentation of Ambiguous Images

In Wed Poster Session A

Simon Kohl · Bernardino Romera-Paredes · Clemens Meyer · Jeffrey De Fauw · Joseph R. Ledsam · Klaus Maier-Hein · S. M. Ali Eslami · Danilo Jimenez Rezende · Olaf Ronneberger

 Paper »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #128

Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger

In Wed Poster Session A

Gabriel Synnaeve · Zeming Lin · Jonas Gehring · Dan Gant · Vegard Mella · Vasil Khalidov · Nicolas Carion · Nicolas Usunier

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #129

Adversarial Text Generation via Feature-Mover's Distance

In Wed Poster Session A

Liqun Chen · Shuyang Dai · Chenyang Tao · Haichao Zhang · Zhe Gan · Dinghan Shen · Yizhe Zhang · Guoyin Wang · Ruiyi Zhang · Lawrence Carin

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #130

Virtual Class Enhanced Discriminative Embedding Learning

In Wed Poster Session A

Binghui Chen · Weihong Deng · Haifeng Shen

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #131

Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems

In Wed Poster Session A

Mrinmaya Sachan · Kumar Avinava Dubey · Tom Mitchell · Dan Roth · Eric Xing

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #132

Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training

In Wed Poster Session A

Youjie Li · Mingchao Yu · Songze Li · Salman Avestimehr · Nam Sung Kim · Alexander Schwing

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #133

MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval

In Wed Poster Session A

Helena Peic Tukuljac · Antoine Deleforge · Remi Gribonval

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #134

Diminishing Returns Shape Constraints for Interpretability and Regularization

In Wed Poster Session A

Maya Gupta · Dara Bahri · Andrew Cotter · Kevin Canini

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #135

Fairness Through Computationally-Bounded Awareness

In Wed Poster Session A

Michael Kim · Omer Reingold · Guy Rothblum

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #136

On preserving non-discrimination when combining expert advice

In Wed Poster Session A

Avrim Blum · Suriya Gunasekar · Thodoris Lykouris · Nati Srebro

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #137

Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making

In Wed Poster Session A

Hoda Heidari · Claudio Ferrari · Krishna Gummadi · Andreas Krause

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #138

Inequity aversion improves cooperation in intertemporal social dilemmas

In Wed Poster Session A

Edward Hughes · Joel Leibo · Matthew Phillips · Karl Tuyls · Edgar Dueñez-Guzman · Antonio García Castañeda · Iain Dunning · Tina Zhu · Kevin McKee · Raphael Koster · Heather Roff · Thore Graepel

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #139

On Misinformation Containment in Online Social Networks

In Wed Poster Session A

Amo Tong · Ding-Zhu Du · Weili Wu

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #140

Found Graph Data and Planted Vertex Covers

In Wed Poster Session A

Austin Benson · Jon Kleinberg

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #141

Inferring Networks From Random Walk-Based Node Similarities

In Wed Poster Session A

Jeremy Hoskins · Cameron Musco · Christopher Musco · Charalampos Tsourakakis

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #142

Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity

In Wed Poster Session A

Laming Chen · Guoxin Zhang · Eric Zhou

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #143

Unorganized Malicious Attacks Detection

In Wed Poster Session A

Ming Pang · Wei Gao · Min Tao · Zhi-Hua Zhou

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #144

Scalable Robust Matrix Factorization with Nonconvex Loss

In Wed Poster Session A

Quanming Yao · James Kwok

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #145

Differentially Private Robust Low-Rank Approximation

In Wed Poster Session A

Raman Arora · Vladimir braverman · Jalaj Upadhyay

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #146

Differential Privacy for Growing Databases

In Wed Poster Session A

Rachel Cummings · Sara Krehbiel · Kevin A Lai · Uthaipon Tantipongpipat

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #147

Efficient Neural Network Robustness Certification with General Activation Functions

In Wed Poster Session A

Huan Zhang · Tsui-Wei Weng · Pin-Yu Chen · Cho-Jui Hsieh · Luca Daniel

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #148

Spectral Signatures in Backdoor Attacks

In Wed Poster Session A

Brandon Tran · Jerry Li · Aleksander Madry

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #149

Constructing Unrestricted Adversarial Examples with Generative Models

In Wed Poster Session A

Yang Song · Rui Shu · Nate Kushman · Stefano Ermon

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #150

Sublinear Time Low-Rank Approximation of Distance Matrices

In Wed Poster Session A

Ainesh Bakshi · David Woodruff

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #151

Leveraged volume sampling for linear regression

In Wed Poster Session A

Michal Derezinski · Manfred Warmuth · Daniel Hsu

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #152

Revisiting (ϵ,γ,τ)(ϵ,γ,τ)-similarity learning for domain adaptation

In Wed Poster Session A

Sofiane Dhouib · Ievgen Redko

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #153

Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance

In Wed Poster Session A

Giulia Luise · Alessandro Rudi · Massimiliano Pontil · Carlo Ciliberto

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #154

Algorithms and Theory for Multiple-Source Adaptation

In Wed Poster Session A

Judy Hoffman · Mehryar Mohri · Ningshan Zhang

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #155

Synthesize Policies for Transfer and Adaptation across Tasks and Environments

In Wed Poster Session A

Hexiang Hu · Liyu Chen · Boqing Gong · Fei Sha

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #156

Acceleration through Optimistic No-Regret Dynamics

In Wed Poster Session A

Jun-Kun Wang · Jacob Abernethy

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #157

Efficient Online Portfolio with Logarithmic Regret

In Wed Poster Session A

Haipeng Luo · Chen-Yu Wei · Kai Zheng

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #158

Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs

In Wed Poster Session A

Han Shao · Xiaotian Yu · Irwin King · Michael Lyu

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #159

A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem

In Wed Poster Session A

Sampath Kannan · Jamie Morgenstern · Aaron Roth · Bo Waggoner · Zhiwei Steven Wu

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #160

Exploration in Structured Reinforcement Learning

In Wed Poster Session A

Jungseul Ok · Alexandre Proutiere · Damianos Tranos

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #161

Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes

In Wed Poster Session A

Ronan Fruit · Matteo Pirotta · Alessandro Lazaric

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #162

A Block Coordinate Ascent Algorithm for Mean-Variance Optimization

In Wed Poster Session A

Tengyang Xie · Bo Liu · Yangyang Xu · Mohammad Ghavamzadeh · Yinlam Chow · Daoming Lyu · Daesub Yoon

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #163

Learning Safe Policies with Expert Guidance

In Wed Poster Session A

Jessie Huang · Fa Wu · Doina Precup · Yang Cai

 Paper »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #164

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search

In Wed Poster Session A

Yelong Shen · Jianshu Chen · Po-Sen Huang · Yuqing Guo · Jianfeng Gao

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #165

Is Q-Learning Provably Efficient?

In Wed Poster Session A

Chi Jin · Zeyuan Allen-Zhu · Sebastien Bubeck · Michael Jordan

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #166

Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition

In Wed Poster Session A

Justin Fu · Avi Singh · Dibya Ghosh · Larry Yang · Sergey Levine

 Paper » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #167

An Off-policy Policy Gradient Theorem Using Emphatic Weightings

In Wed Poster Session A

Ehsan Imani · Eric Graves · Martha White

 Paper »   Poster » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #168

Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model

In Wed Poster Session A

Aaron Sidford · Mengdi Wang · Xian Wu · Lin Yang · Yinyu Ye

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 10:45 AM -- 12:45 PM @ Room 517 AB #169

Monte-Carlo Tree Search for Constrained POMDPs

In Wed Poster Session A

Jongmin Lee · Geon-hyeong Kim · Pascal Poupart · Kee-Eung Kim

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #1

Equality of Opportunity in Classification: A Causal Approach

In Wed Poster Session B

Junzhe Zhang · Elias Bareinboim

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #2

Confounding-Robust Policy Improvement

In Wed Poster Session B

Nathan Kallus · Angela Zhou

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #3

Causal Discovery from Discrete Data using Hidden Compact Representation

In Wed Poster Session B

Ruichu Cai · Jie Qiao · Kun Zhang · Zhenjie Zhang · Zhifeng Hao

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #4

Dirichlet belief networks for topic structure learning

In Wed Poster Session B

He Zhao · Lan Du · Wray Buntine · Mingyuan Zhou

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #5

Approximate Knowledge Compilation by Online Collapsed Importance Sampling

In Wed Poster Session B

Tal Friedman · Guy Van den Broeck

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #6

Proximal Graphical Event Models

In Wed Poster Session B

Debarun Bhattacharjya · Dharmashankar Subramanian · Tian Gao

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #7

Dynamic Network Model from Partial Observations

In Wed Poster Session B

Elahe Ghalebi · Baharan Mirzasoleiman · Radu Grosu · Jure Leskovec

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #8

HOGWILD!-Gibbs can be PanAccurate

In Wed Poster Session B

Constantinos Daskalakis · Nishanth Dikkala · Siddhartha Jayanti

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #9

DAGs with NO TEARS: Continuous Optimization for Structure Learning

In Wed Poster Session B

Xun Zheng · Bryon Aragam · Pradeep Ravikumar · Eric Xing

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #10

Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues

In Wed Poster Session B

Soumendu Sundar Mukherjee · Purnamrita Sarkar · Y. X. Rachel Wang · Bowei Yan

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #11

Coupled Variational Bayes via Optimization Embedding

In Wed Poster Session B

Bo Dai · Hanjun Dai · Niao He · Weiyang Liu · Zhen Liu · Jianshu Chen · Lin Xiao · Le Song

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #12

Stochastic Nonparametric Event-Tensor Decomposition

In Wed Poster Session B

Shandian Zhe · Yishuai Du

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #13

GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration

In Wed Poster Session B

Jacob Gardner · Geoff Pleiss · Kilian Weinberger · David Bindel · Andrew Wilson

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #14

Heterogeneous Multi-output Gaussian Process Prediction

In Wed Poster Session B

Pablo Moreno-Muñoz · Antonio Artés · Mauricio Álvarez

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #15

Probabilistic Matrix Factorization for Automated Machine Learning

In Wed Poster Session B

Nicolo Fusi · Rishit Sheth · Melih Elibol

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #16

Stochastic Expectation Maximization with Variance Reduction

In Wed Poster Session B

Jianfei Chen · Jun Zhu · Yee Whye Teh · Tong Zhang

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #17

Generative Neural Machine Translation

In Wed Poster Session B

Harshil Shah · David Barber

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #19

Variational Learning on Aggregate Outputs with Gaussian Processes

In Wed Poster Session B

Ho Chung Law · Dino Sejdinovic · Ewan Cameron · Tim Lucas · Seth Flaxman · Katherine Battle · Kenji Fukumizu

 Paper »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #20

Learning Invariances using the Marginal Likelihood

In Wed Poster Session B

Mark van der Wilk · Matthias Bauer · ST John · James Hensman

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #21

Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification

In Wed Poster Session B

Dimitrios Milios · Raffaello Camoriano · Pietro Michiardi · Lorenzo Rosasco · Maurizio Filippone

 Paper »   Poster » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #22

Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior

In Wed Poster Session B

Zi Wang · Beomjoon Kim · Leslie Kaelbling

 Paper »   Poster » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #23

Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features

In Wed Poster Session B

Mojmir Mutny · Andreas Krause

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #24

Adversarially Robust Optimization with Gaussian Processes

In Wed Poster Session B

Ilija Bogunovic · Jonathan Scarlett · Stefanie Jegelka · Volkan Cevher

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #25

Multi-objective Maximization of Monotone Submodular Functions with Cardinality Constraint

In Wed Poster Session B

Rajan Udwani

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #26

Variational PDEs for Acceleration on Manifolds and Application to Diffeomorphisms

In Wed Poster Session B

Ganesh Sundaramoorthi · Anthony Yezzi

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #27

Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates

In Wed Poster Session B

Krishnakumar Balasubramanian · Saeed Ghadimi

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #28

Computing Higher Order Derivatives of Matrix and Tensor Expressions

In Wed Poster Session B

Soeren Laue · Matthias Mitterreiter · Joachim Giesen

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #29

How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective

In Wed Poster Session B

Lei Wu · Chao Ma · Weinan E

 Paper »   Poster » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #30

The Effect of Network Width on the Performance of Large-batch Training

In Wed Poster Session B

Lingjiao Chen · Hongyi Wang · Jinman Zhao · Dimitris Papailiopoulos · Paraschos Koutris

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #31

COLA: Decentralized Linear Learning

In Wed Poster Session B

Lie He · An Bian · Martin Jaggi

 Paper »   Poster » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #32

Distributed Stochastic Optimization via Adaptive SGD

In Wed Poster Session B

Ashok Cutkosky · Róbert Busa-Fekete

 Paper »   Poster » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #33

Non-Ergodic Alternating Proximal Augmented Lagrangian Algorithms with Optimal Rates

In Wed Poster Session B

Quoc Tran Dinh

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #34

Breaking the Span Assumption Yields Fast Finite-Sum Minimization

In Wed Poster Session B

Robert Hannah · Yanli Liu · Daniel O'Connor · Wotao Yin

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #35

Optimization for Approximate Submodularity

In Wed Poster Session B

Yaron Singer · Avinatan Hassidim

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #36

Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions

In Wed Poster Session B

Wenruo Bai · William Stafford Noble · Jeff Bilmes

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #37

Maximizing Induced Cardinality Under a Determinantal Point Process

In Wed Poster Session B

Jennifer Gillenwater · Alex Kulesza · Sergei Vassilvitskii · Zelda Mariet

 Paper »   Poster » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #38

Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization

In Wed Poster Session B

Francis Bach

 Paper »   Poster » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #39

Revisiting Decomposable Submodular Function Minimization with Incidence Relations

In Wed Poster Session B

Pan Li · Olgica Milenkovic

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #40

Coordinate Descent with Bandit Sampling

In Wed Poster Session B

Farnood Salehi · Patrick Thiran · Elisa Celis

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #41

Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization

In Wed Poster Session B

Robert Gower · Filip Hanzely · Peter Richtarik · Sebastian Stich

 Paper »   Poster » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #42

Stochastic Cubic Regularization for Fast Nonconvex Optimization

In Wed Poster Session B

Nilesh Tripuraneni · Mitchell Stern · Chi Jin · Jeffrey Regier · Michael Jordan

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #43

On the Local Minima of the Empirical Risk

In Wed Poster Session B

Chi Jin · Lydia T. Liu · Rong Ge · Michael Jordan

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #44

Stochastic Nested Variance Reduced Gradient Descent for Nonconvex Optimization

In Wed Poster Session B

Dongruo Zhou · Pan Xu · Quanquan Gu

 Paper »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #45

NEON2: Finding Local Minima via First-Order Oracles

In Wed Poster Session B

Zeyuan Allen-Zhu · Yuanzhi Li

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #46

How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?

In Wed Poster Session B

Richard Zhang · Cedric Josz · Somayeh Sojoudi · Javad Lavaei

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #47

Escaping Saddle Points in Constrained Optimization

In Wed Poster Session B

Aryan Mokhtari · Asuman Ozdaglar · Ali Jadbabaie

 Paper »   Poster » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #48

Analysis of Krylov Subspace Solutions of Regularized Non-Convex Quadratic Problems

In Wed Poster Session B

Yair Carmon · John Duchi

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #49

SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator

In Wed Poster Session B

Cong Fang · Chris Junchi Li · Zhouchen Lin · Tong Zhang

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #50

Natasha 2: Faster Non-Convex Optimization Than SGD

In Wed Poster Session B

Zeyuan Allen-Zhu

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #51

Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization

In Wed Poster Session B

Sijia Liu · Bhavya Kailkhura · Pin-Yu Chen · Paishun Ting · Shiyu Chang · Lisa Amini

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #52

Structured Local Minima in Sparse Blind Deconvolution

In Wed Poster Session B

Yuqian Zhang · Han-wen Kuo · John Wright

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #53

Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced

In Wed Poster Session B

Simon Du · Wei Hu · Jason Lee

 Paper »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #54

Are ResNets Provably Better than Linear Predictors?

In Wed Poster Session B

Ohad Shamir

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #55

Adaptive Methods for Nonconvex Optimization

In Wed Poster Session B

Manzil Zaheer · Sashank Reddi · Devendra Sachan · Satyen Kale · Sanjiv Kumar

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #56

Alternating optimization of decision trees, with application to learning sparse oblique trees

In Wed Poster Session B

Miguel A. Carreira-Perpinan · Pooya Tavallali

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #57

GILBO: One Metric to Measure Them All

In Wed Poster Session B

Alexander Alemi · Ian Fischer

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #58

Isolating Sources of Disentanglement in Variational Autoencoders

In Wed Poster Session B

Tian Qi Chen · Xuechen Li · Roger Grosse · David Duvenaud

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #59

On GANs and GMMs

In Wed Poster Session B

Eitan Richardson · Yair Weiss

 Paper »   Poster » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #60

Assessing Generative Models via Precision and Recall

In Wed Poster Session B

Mehdi S. M. Sajjadi · Olivier Bachem · Mario Lucic · Olivier Bousquet · Sylvain Gelly

 Paper »   Poster » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #61

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks

In Wed Poster Session B

Jie Hu · Li Shen · Samuel Albanie · Gang Sun · Andrea Vedaldi

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #62

Uncertainty-Aware Attention for Reliable Interpretation and Prediction

In Wed Poster Session B

Jay Heo · Hae Beom Lee · Saehoon Kim · Juho Lee · Kwang Joon Kim · Eunho Yang · Sung Ju Hwang

 Paper »   Poster » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #63

Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks

In Wed Poster Session B

Bryan Lim · Ahmed M. Alaa · Mihaela van der Schaar

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #64

Backpropagation with Callbacks: Foundations for Efficient and Expressive Differentiable Programming

In Wed Poster Session B

Fei Wang · James Decker · Xilun Wu · Gregory Essertel · Tiark Rompf

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #65

Recurrent World Models Facilitate Policy Evolution

In Wed Poster Session B

David Ha · Jürgen Schmidhuber

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #66

Long short-term memory and Learning-to-learn in networks of spiking neurons

In Wed Poster Session B

Guillaume Bellec · Darjan Salaj · Anand Subramoney · Robert Legenstein · Wolfgang Maass

 Paper »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #67

Distributed Weight Consolidation: A Brain Segmentation Case Study

In Wed Poster Session B

Patrick McClure · Charles Zheng · Jakub Kaczmarzyk · John Rogers-Lee · Satra Ghosh · Dylan Nielson · Peter A Bandettini · Francisco Pereira

 Paper »   Poster » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #68

Learning to Play With Intrinsically-Motivated, Self-Aware Agents

In Wed Poster Session B

Nick Haber · Damian Mrowca · Stephanie Wang · Li Fei-Fei · Daniel Yamins

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #69

Gradient Descent for Spiking Neural Networks

In Wed Poster Session B

Dongsung Huh · Terrence J Sejnowski

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #70

Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation

In Wed Poster Session B

Chaitanya Ryali · Gautam Reddy · Angela J Yu

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #71

Temporal alignment and latent Gaussian process factor inference in population spike trains

In Wed Poster Session B

Lea Duncker · Maneesh Sahani

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #72

Information-based Adaptive Stimulus Selection to Optimize Communication Efficiency in Brain-Computer Interfaces

In Wed Poster Session B

Boyla Mainsah · Dmitry Kalika · Leslie Collins · Siyuan Liu · Chandra Throckmorton

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #73

Model-based targeted dimensionality reduction for neuronal population data

In Wed Poster Session B

Mikio Aoi · Jonathan W Pillow

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #74

Objective and efficient inference for couplings in neuronal networks

In Wed Poster Session B

Yu Terada · Tomoyuki Obuchi · Takuya Isomura · Yoshiyuki Kabashima

 Paper »   Poster » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #75

The emergence of multiple retinal cell types through efficient coding of natural movies

In Wed Poster Session B

Samuel Ocko · Jack Lindsey · Surya Ganguli · Stephane Deny

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #76

Benefits of over-parameterization with EM

In Wed Poster Session B

Ji Xu · Daniel Hsu · Arian Maleki

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #77

On Coresets for Logistic Regression

In Wed Poster Session B

Alexander Munteanu · Chris Schwiegelshohn · Christian Sohler · David Woodruff

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #78

On Learning Markov Chains

In Wed Poster Session B

Yi HAO · Alon Orlitsky · Venkatadheeraj Pichapati

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #79

Contextual Stochastic Block Models

In Wed Poster Session B

Yash Deshpande · Subhabrata Sen · Andrea Montanari · Elchanan Mossel

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #80

Estimators for Multivariate Information Measures in General Probability Spaces

In Wed Poster Session B

Arman Rahimzamani · Himanshu Asnani · Pramod Viswanath · Sreeram Kannan

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #81

Blind Deconvolutional Phase Retrieval via Convex Programming

In Wed Poster Session B

Ali Ahmed · Alireza Aghasi · Paul Hand

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #82

Entropy Rate Estimation for Markov Chains with Large State Space

In Wed Poster Session B

Yanjun Han · Jiantao Jiao · Chuan-Zheng Lee · Tsachy Weissman · Yihong Wu · Tiancheng Yu

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #83

Bandit Learning in Concave N-Person Games

In Wed Poster Session B

Mario Bravo · David Leslie · Panayotis Mertikopoulos

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #84

Depth-Limited Solving for Imperfect-Information Games

In Wed Poster Session B

Noam Brown · Tuomas Sandholm · Brandon Amos

 Paper »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #85

The Physical Systems Behind Optimization Algorithms

In Wed Poster Session B

Lin Yang · Raman Arora · Vladimir braverman · Tuo Zhao

 Paper »   Poster »   3-Minute-Video » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #86

The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal

In Wed Poster Session B

Jiantao Jiao · Weihao Gao · Yanjun Han

 Paper » 

Poster

Wed Dec 5th 05:00 -- 07:00 PM @ Room 210 #87

Robust Learning of Fixed-Structure Bayesian Networks

In Wed Poster Session B

Yu Cheng · Ilias Diakonikolas · Daniel Kane · Alistair Stewart

 Paper »