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Spotlight
Tue Dec 04 07:20 AM -- 07:25 AM (PST) @ Room 220 CD
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
In Tue Track 1 -- Session 1
Yuanzhi Li · Yingyu Liang
Spotlight
Tue Dec 04 07:20 AM -- 07:25 AM (PST) @ Room 220 E
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces
In Tue Track 2 -- Session 1
Yu-An Chung · Wei-Hung Weng · Schrasing Tong · Jim Glass
Spotlight
Tue Dec 04 07:20 AM -- 07:25 AM (PST) @ Room 517 CD
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere
In Tue Track 3 -- Session 1
Yanjun Li · Yoram Bresler
Spotlight
Tue Dec 04 07:25 AM -- 07:30 AM (PST) @ Room 220 CD
Size-Noise Tradeoffs in Generative Networks
In Tue Track 1 -- Session 1
Bolton Bailey · Matus Telgarsky
Spotlight
Tue Dec 04 07:25 AM -- 07:30 AM (PST) @ Room 220 E
Diffusion Maps for Textual Network Embedding
In Tue Track 2 -- Session 1
Xinyuan Zhang · Yitong Li · Dinghan Shen · Lawrence Carin
Spotlight
Tue Dec 04 07:25 AM -- 07:30 AM (PST) @ Room 517 CD
Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds
In Tue Track 3 -- Session 1
Xiaohan Chen · Jialin Liu · Zhangyang Wang · Wotao Yin
Spotlight
Tue Dec 04 12:30 PM -- 12:35 PM (PST) @ Room 220 CD
Neural Voice Cloning with a Few Samples
In Tue Track 1 -- Session 2
Sercan Arik · Jitong Chen · Kainan Peng · Wei Ping · Yanqi Zhou
Spotlight
Tue Dec 04 12:30 PM -- 12:35 PM (PST) @ Room 220 E
Evolved Policy Gradients
In Tue Track 2 -- Session 2
Rein Houthooft · Yuhua Chen · Phillip Isola · Bradly Stadie · Filip Wolski · OpenAI Jonathan Ho · Pieter Abbeel
Spotlight
Tue Dec 04 12:30 PM -- 12:35 PM (PST) @ Room 517 CD
Differentially Private Testing of Identity and Closeness of Discrete Distributions
In Tue Track 3 -- Session 2
Jayadev Acharya · Ziteng Sun · Huanyu Zhang
Spotlight
Tue Dec 04 12:35 PM -- 12:40 PM (PST) @ Room 220 CD
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog
In Tue Track 1 -- Session 2
Sang-Woo Lee · Yu-Jung Heo · Byoung-Tak Zhang
Spotlight
Tue Dec 04 12:35 PM -- 12:40 PM (PST) @ Room 220 E
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning
In Tue Track 2 -- Session 2
Tyler Scott · Karl Ridgeway · Michael Mozer
Spotlight
Tue Dec 04 12:35 PM -- 12:40 PM (PST) @ Room 517 CD
Local Differential Privacy for Evolving Data
In Tue Track 3 -- Session 2
Matthew Joseph · Aaron Roth · Jonathan Ullman · Bo Waggoner
Spotlight
Tue Dec 04 12:40 PM -- 12:45 PM (PST) @ Room 220 CD
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
In Tue Track 1 -- Session 2
Kexin Yi · Jiajun Wu · Chuang Gan · Antonio Torralba · Pushmeet Kohli · Josh Tenenbaum
Spotlight
Tue Dec 04 12:40 PM -- 12:45 PM (PST) @ Room 220 E
Bayesian Model-Agnostic Meta-Learning
In Tue Track 2 -- Session 2
Jaesik Yoon · Taesup Kim · Ousmane Dia · Sungwoong Kim · Yoshua Bengio · Sungjin Ahn
Spotlight
Tue Dec 04 12:40 PM -- 12:45 PM (PST) @ Room 517 CD
Differentially Private k-Means with Constant Multiplicative Error
In Tue Track 3 -- Session 2
Uri Stemmer · Haim Kaplan
Spotlight
Tue Dec 04 12:45 PM -- 12:50 PM (PST) @ Room 220 CD
Learning to Optimize Tensor Programs
In Tue Track 1 -- Session 2
Tianqi Chen · Lianmin Zheng · Eddie Yan · Ziheng Jiang · Thierry Moreau · Luis Ceze · Carlos Guestrin · Arvind Krishnamurthy
Spotlight
Tue Dec 04 12:45 PM -- 12:50 PM (PST) @ Room 220 E
Probabilistic Neural Programmed Networks for Scene Generation
In Tue Track 2 -- Session 2
Zhiwei Deng · Jiacheng Chen · YIFANG FU · Greg Mori
Spotlight
Tue Dec 04 12:45 PM -- 12:50 PM (PST) @ Room 517 CD
A Spectral View of Adversarially Robust Features
In Tue Track 3 -- Session 2
Shivam Garg · Vatsal Sharan · Brian Zhang · Gregory Valiant
Spotlight
Tue Dec 04 01:05 PM -- 01:10 PM (PST) @ Room 220 CD
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
In Tue Track 1 -- Session 2
Jeffrey Chan · Valerio Perrone · Jeffrey Spence · Paul Jenkins · Sara Mathieson · Yun Song
Spotlight
Tue Dec 04 01:05 PM -- 01:10 PM (PST) @ Room 220 E
Bias and Generalization in Deep Generative Models: An Empirical Study
In Tue Track 2 -- Session 2
Shengjia Zhao · Hongyu Ren · Arianna Yuan · Jiaming Song · Noah Goodman · Stefano Ermon
Spotlight
Tue Dec 04 01:05 PM -- 01:10 PM (PST) @ Room 517 CD
Bounded-Loss Private Prediction Markets
In Tue Track 3 -- Session 2
Rafael Frongillo · Bo Waggoner
Spotlight
Tue Dec 04 01:10 PM -- 01:15 PM (PST) @ Room 220 CD
Generalizing Tree Probability Estimation via Bayesian Networks
In Tue Track 1 -- Session 2
Cheng Zhang · Frederick A Matsen IV
Spotlight
Tue Dec 04 01:10 PM -- 01:15 PM (PST) @ Room 220 E
Robustness of conditional GANs to noisy labels
In Tue Track 2 -- Session 2
Kiran Thekumparampil · Ashish Khetan · Zinan Lin · Sewoong Oh
Spotlight
Tue Dec 04 01:10 PM -- 01:15 PM (PST) @ Room 517 CD
cpSGD: Communication-efficient and differentially-private distributed SGD
In Tue Track 3 -- Session 2
Naman Agarwal · Ananda Theertha Suresh · Felix Xinnan Yu · Sanjiv Kumar · Brendan McMahan
Spotlight
Tue Dec 04 01:15 PM -- 01:20 PM (PST) @ Room 220 CD
Geometry Based Data Generation
In Tue Track 1 -- Session 2
Ofir Lindenbaum · Jay Stanley · Guy Wolf · Smita Krishnaswamy
Spotlight
Tue Dec 04 01:15 PM -- 01:20 PM (PST) @ Room 220 E
BourGAN: Generative Networks with Metric Embeddings
In Tue Track 2 -- Session 2
Chang Xiao · Peilin Zhong · Changxi Zheng
Spotlight
Tue Dec 04 01:15 PM -- 01:20 PM (PST) @ Room 517 CD
Adversarially Robust Generalization Requires More Data
In Tue Track 3 -- Session 2
Ludwig Schmidt · Shibani Santurkar · Dimitris Tsipras · Kunal Talwar · Aleksander Madry
Spotlight
Tue Dec 04 01:20 PM -- 01:25 PM (PST) @ Room 220 CD
Point process latent variable models of larval zebrafish behavior
In Tue Track 1 -- Session 2
Anuj Sharma · Robert Johnson · Florian Engert · Scott Linderman
Spotlight
Tue Dec 04 01:20 PM -- 01:25 PM (PST) @ Room 220 E
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
In Tue Track 2 -- Session 2
Timur Garipov · Pavel Izmailov · Dmitrii Podoprikhin · Dmitry Vetrov · Andrew Wilson
Spotlight
Tue Dec 04 01:20 PM -- 01:25 PM (PST) @ Room 517 CD
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples
In Tue Track 3 -- Session 2
Guanhong Tao · Shiqing Ma · Yingqi Liu · Xiangyu Zhang
Spotlight
Tue Dec 04 01:40 PM -- 01:45 PM (PST) @ Room 220 CD
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
In Tue Track 1 -- Session 2
Nan Rosemary Ke · Anirudh Goyal · Olexa Bilaniuk · Jonathan Binas · Michael Mozer · Chris Pal · Yoshua Bengio
Spotlight
Tue Dec 04 01:40 PM -- 01:45 PM (PST) @ Room 220 E
Training Neural Networks Using Features Replay
In Tue Track 2 -- Session 2
Zhouyuan Huo · Bin Gu · Heng Huang
Spotlight
Tue Dec 04 01:40 PM -- 01:45 PM (PST) @ Room 517 CD
Towards Robust Detection of Adversarial Examples
In Tue Track 3 -- Session 2
Tianyu Pang · Chao Du · Yinpeng Dong · Jun Zhu
Spotlight
Tue Dec 04 01:45 PM -- 01:50 PM (PST) @ Room 220 CD
Learning Temporal Point Processes via Reinforcement Learning
In Tue Track 1 -- Session 2
Shuang Li · Shuai Xiao · Shixiang Zhu · Nan Du · Yao Xie · Le Song
Spotlight
Tue Dec 04 01:45 PM -- 01:50 PM (PST) @ Room 220 E
Step Size Matters in Deep Learning
In Tue Track 2 -- Session 2
Kamil Nar · Shankar Sastry
Spotlight
Tue Dec 04 01:45 PM -- 01:50 PM (PST) @ Room 517 CD
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
In Tue Track 3 -- Session 2
Kirthevasan Kandasamy · Willie Neiswanger · Jeff Schneider · Barnabas Poczos · Eric Xing
Spotlight
Tue Dec 04 01:50 PM -- 01:55 PM (PST) @ Room 220 CD
Precision and Recall for Time Series
In Tue Track 1 -- Session 2
Nesime Tatbul · Tae Jun Lee · Stan Zdonik · Mejbah Alam · Justin Gottschlich
Spotlight
Tue Dec 04 01:50 PM -- 01:55 PM (PST) @ Room 220 E
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
In Tue Track 2 -- Session 2
Arthur Jacot-Guillarmod · Clement Hongler · Franck Gabriel
Spotlight
Tue Dec 04 01:50 PM -- 01:55 PM (PST) @ Room 517 CD
Data-Driven Clustering via Parameterized Lloyd's Families
In Tue Track 3 -- Session 2
Maria-Florina Balcan · Travis Dick · Colin White
Spotlight
Tue Dec 04 01:55 PM -- 02:00 PM (PST) @ Room 220 CD
Bayesian Nonparametric Spectral Estimation
In Tue Track 1 -- Session 2
Felipe Tobar
Spotlight
Tue Dec 04 01:55 PM -- 02:00 PM (PST) @ Room 220 E
Hierarchical Graph Representation Learning with Differentiable Pooling
In Tue Track 2 -- Session 2
Zhitao Ying · Jiaxuan You · Christopher Morris · Xiang Ren · Will Hamilton · Jure Leskovec
Spotlight
Tue Dec 04 01:55 PM -- 02:00 PM (PST) @ Room 517 CD
Supervising Unsupervised Learning
In Tue Track 3 -- Session 2
Vikas Garg · Adam Kalai
Spotlight
Wed Dec 05 06:45 AM -- 06:50 AM (PST) @ Room 220 CD
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
In Wed Track 1 -- Session 1
Sampath Kannan · Jamie Morgenstern · Aaron Roth · Bo Waggoner · Zhiwei Steven Wu
Spotlight
Wed Dec 05 06:45 AM -- 06:50 AM (PST) @ Room 220 E
Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images
In Wed Track 2 -- Session 1
Andrei Zanfir · Elisabeta Marinoiu · Mihai Zanfir · Alin-Ionut Popa · Cristian Sminchisescu
Spotlight
Wed Dec 05 06:45 AM -- 06:50 AM (PST) @ Room 517 CD
Revisiting $(\epsilon, \gamma, \tau)$-similarity learning for domain adaptation
In Wed Track 3 -- Session 1
Sofiane Dhouib · Ievgen Redko
Spotlight
Wed Dec 05 06:50 AM -- 06:55 AM (PST) @ Room 220 CD
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
In Wed Track 1 -- Session 1
Han Shao · Xiaotian Yu · Irwin King · Michael R Lyu
Spotlight
Wed Dec 05 06:50 AM -- 06:55 AM (PST) @ Room 220 E
Delta-encoder: an effective sample synthesis method for few-shot object recognition
In Wed Track 2 -- Session 1
Eli Schwartz · Leonid Karlinsky · Joseph Shtok · Sivan Harary · Mattias Marder · Abhishek Kumar · Rogerio Feris · Raja Giryes · Alex Bronstein
Spotlight
Wed Dec 05 06:50 AM -- 06:55 AM (PST) @ Room 517 CD
Leveraged volume sampling for linear regression
In Wed Track 3 -- Session 1
Michal Derezinski · Manfred K. Warmuth · Daniel Hsu
Spotlight
Wed Dec 05 06:55 AM -- 07:00 AM (PST) @ Room 220 CD
End-to-End Differentiable Physics for Learning and Control
In Wed Track 1 -- Session 1
Filipe de Avila Belbute Peres · Kevin Smith · Kelsey Allen · Josh Tenenbaum · J. Zico Kolter
Spotlight
Wed Dec 05 06:55 AM -- 07:00 AM (PST) @ Room 220 E
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language
In Wed Track 2 -- Session 1
Seonghyeon Nam · Yunji Kim · Seon Joo Kim
Spotlight
Wed Dec 05 06:55 AM -- 07:00 AM (PST) @ Room 517 CD
Synthesize Policies for Transfer and Adaptation across Tasks and Environments
In Wed Track 3 -- Session 1
Hexiang Hu · Liyu Chen · Boqing Gong · Fei Sha
Spotlight
Wed Dec 05 07:00 AM -- 07:05 AM (PST) @ Room 220 CD
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes
In Wed Track 1 -- Session 1
Ronan Fruit · Matteo Pirotta · Alessandro Lazaric
Spotlight
Wed Dec 05 07:00 AM -- 07:05 AM (PST) @ Room 220 E
Neighbourhood Consensus Networks
In Wed Track 2 -- Session 1
Ignacio Rocco · Mircea Cimpoi · Relja Arandjelović · Akihiko Torii · Tomas Pajdla · Josef Sivic
Spotlight
Wed Dec 05 07:00 AM -- 07:05 AM (PST) @ Room 517 CD
Sublinear Time Low-Rank Approximation of Distance Matrices
In Wed Track 3 -- Session 1
Ainesh Bakshi · David Woodruff
Spotlight
Wed Dec 05 07:20 AM -- 07:25 AM (PST) @ Room 220 CD
Acceleration through Optimistic No-Regret Dynamics
In Wed Track 1 -- Session 1
Jun-Kun Wang · Jacob Abernethy
Spotlight
Wed Dec 05 07:20 AM -- 07:25 AM (PST) @ Room 220 E
Recurrent Transformer Networks for Semantic Correspondence
In Wed Track 2 -- Session 1
Seungryong Kim · Stephen Lin · Sangryul Jeon · Dongbo Min · Kwanghoon Sohn
Spotlight
Wed Dec 05 07:20 AM -- 07:25 AM (PST) @ Room 517 CD
Minimax Statistical Learning with Wasserstein distances
In Wed Track 3 -- Session 1
Jaeho Lee · Maxim Raginsky
Spotlight
Wed Dec 05 07:25 AM -- 07:30 AM (PST) @ Room 220 CD
On Oracle-Efficient PAC RL with Rich Observations
In Wed Track 1 -- Session 1
Christoph Dann · Nan Jiang · Akshay Krishnamurthy · Alekh Agarwal · John Langford · Robert Schapire
Spotlight
Wed Dec 05 07:25 AM -- 07:30 AM (PST) @ Room 220 E
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
In Wed Track 2 -- Session 1
Adam Kosiorek · Hyunjik Kim · Yee Whye Teh · Ingmar Posner
Spotlight
Wed Dec 05 07:25 AM -- 07:30 AM (PST) @ Room 517 CD
Generalization Bounds for Uniformly Stable Algorithms
In Wed Track 3 -- Session 1
Vitaly Feldman · Jan Vondrak
Spotlight
Wed Dec 05 07:30 AM -- 07:35 AM (PST) @ Room 220 CD
Constant Regret, Generalized Mixability, and Mirror Descent
In Wed Track 1 -- Session 1
Zakaria Mhammedi · Robert Williamson
Spotlight
Wed Dec 05 07:30 AM -- 07:35 AM (PST) @ Room 220 E
Sanity Checks for Saliency Maps
In Wed Track 2 -- Session 1
Julius Adebayo · Justin Gilmer · Michael Muelly · Ian Goodfellow · Moritz Hardt · Been Kim
Spotlight
Wed Dec 05 07:30 AM -- 07:35 AM (PST) @ Room 517 CD
A loss framework for calibrated anomaly detection
In Wed Track 3 -- Session 1
Aditya Menon · Robert Williamson
Spotlight
Wed Dec 05 07:35 AM -- 07:40 AM (PST) @ Room 220 CD
Efficient Online Portfolio with Logarithmic Regret
In Wed Track 1 -- Session 1
Haipeng Luo · Chen-Yu Wei · Kai Zheng
Spotlight
Wed Dec 05 07:35 AM -- 07:40 AM (PST) @ Room 220 E
A Probabilistic U-Net for Segmentation of Ambiguous Images
In Wed Track 2 -- Session 1
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
Spotlight
Wed Dec 05 07:35 AM -- 07:40 AM (PST) @ Room 517 CD
Sharp Bounds for Generalized Uniformity Testing
In Wed Track 3 -- Session 1
Ilias Diakonikolas · Daniel M. Kane · Alistair Stewart
Spotlight
Wed Dec 05 07:40 AM -- 07:45 AM (PST) @ Room 220 CD
Solving Large Sequential Games with the Excessive Gap Technique
In Wed Track 1 -- Session 1
Christian Kroer · Gabriele Farina · Tuomas Sandholm
Spotlight
Wed Dec 05 07:40 AM -- 07:45 AM (PST) @ Room 220 E
Virtual Class Enhanced Discriminative Embedding Learning
In Wed Track 2 -- Session 1
Binghui Chen · Weihong Deng · Haifeng Shen
Spotlight
Wed Dec 05 07:40 AM -- 07:45 AM (PST) @ Room 517 CD
Convex Elicitation of Continuous Properties
In Wed Track 3 -- Session 1
Jessica Finocchiaro · Rafael Frongillo
Spotlight
Wed Dec 05 12:30 PM -- 12:35 PM (PST) @ Room 220 CD
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
In Wed Track 1 -- Session 2
Qiang Liu · Lihong Li · Ziyang Tang · Denny Zhou
Spotlight
Wed Dec 05 12:30 PM -- 12:35 PM (PST) @ Room 220 E
Dynamic Network Model from Partial Observations
In Wed Track 2 -- Session 2
Elahe Ghalebi · Baharan Mirzasoleiman · Radu Grosu · Jure Leskovec
Spotlight
Wed Dec 05 12:30 PM -- 12:35 PM (PST) @ Room 517 CD
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
In Wed Track 3 -- Session 2
Jiantao Jiao · Weihao Gao · Yanjun Han
Spotlight
Wed Dec 05 12:35 PM -- 12:40 PM (PST) @ Room 220 CD
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
In Wed Track 1 -- Session 2
Jiaxuan You · Bowen Liu · Zhitao Ying · Vijay Pande · Jure Leskovec
Spotlight
Wed Dec 05 12:35 PM -- 12:40 PM (PST) @ Room 220 E
Stochastic Nonparametric Event-Tensor Decomposition
In Wed Track 2 -- Session 2
Shandian Zhe · Yishuai Du
Spotlight
Wed Dec 05 12:35 PM -- 12:40 PM (PST) @ Room 517 CD
Contextual Stochastic Block Models
In Wed Track 3 -- Session 2
Yash Deshpande · Subhabrata Sen · Andrea Montanari · Elchanan Mossel
Spotlight
Wed Dec 05 12:40 PM -- 12:45 PM (PST) @ Room 220 CD
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
In Wed Track 1 -- Session 2
Chen Liang · Mohammad Norouzi · Jonathan Berant · Quoc V Le · Ni Lao
Spotlight
Wed Dec 05 12:40 PM -- 12:45 PM (PST) @ Room 220 E
On GANs and GMMs
In Wed Track 2 -- Session 2
Eitan Richardson · Yair Weiss
Spotlight
Wed Dec 05 12:40 PM -- 12:45 PM (PST) @ Room 517 CD
Entropy Rate Estimation for Markov Chains with Large State Space
In Wed Track 3 -- Session 2
Yanjun Han · Jiantao Jiao · Chuan-Zheng Lee · Tsachy Weissman · Yihong Wu · Tiancheng Yu
Spotlight
Wed Dec 05 12:45 PM -- 12:50 PM (PST) @ Room 220 CD
Meta-Reinforcement Learning of Structured Exploration Strategies
In Wed Track 1 -- Session 2
Abhishek Gupta · Russell Mendonca · YuXuan Liu · Pieter Abbeel · Sergey Levine
Spotlight
Wed Dec 05 12:45 PM -- 12:50 PM (PST) @ Room 220 E
GILBO: One Metric to Measure Them All
In Wed Track 2 -- Session 2
Alexander Alemi · Ian Fischer
Spotlight
Wed Dec 05 12:45 PM -- 12:50 PM (PST) @ Room 517 CD
Blind Deconvolutional Phase Retrieval via Convex Programming
In Wed Track 3 -- Session 2
Ali Ahmed · Alireza Aghasi · Paul Hand
Spotlight
Wed Dec 05 01:05 PM -- 01:10 PM (PST) @ Room 220 CD
A Bayesian Approach to Generative Adversarial Imitation Learning
In Wed Track 1 -- Session 2
Wonseok Jeon · Seokin Seo · Kee-Eung Kim
Spotlight
Wed Dec 05 01:05 PM -- 01:10 PM (PST) @ Room 517 CD
Stochastic Nested Variance Reduced Gradient Descent for Nonconvex Optimization
In Wed Track 3 -- Session 2
Dongruo Zhou · Pan Xu · Quanquan Gu
Spotlight
Wed Dec 05 01:10 PM -- 01:15 PM (PST) @ Room 220 CD
Visual Reinforcement Learning with Imagined Goals
In Wed Track 1 -- Session 2
Ashvin Nair · Vitchyr Pong · Murtaza Dalal · Shikhar Bahl · Steven Lin · Sergey Levine
Spotlight
Wed Dec 05 01:10 PM -- 01:15 PM (PST) @ Room 220 E
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features
In Wed Track 2 -- Session 2
Mojmir Mutny · Andreas Krause
Spotlight
Wed Dec 05 01:10 PM -- 01:15 PM (PST) @ Room 517 CD
On the Local Minima of the Empirical Risk
In Wed Track 3 -- Session 2
Chi Jin · Lydia T. Liu · Rong Ge · Michael Jordan
Spotlight
Wed Dec 05 01:15 PM -- 01:20 PM (PST) @ Room 220 CD
Randomized Prior Functions for Deep Reinforcement Learning
In Wed Track 1 -- Session 2
Ian Osband · John Aslanides · Albin Cassirer
Spotlight
Wed Dec 05 01:15 PM -- 01:20 PM (PST) @ Room 220 E
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
In Wed Track 2 -- Session 2
Zi Wang · Beomjoon Kim · Leslie Kaelbling
Spotlight
Wed Dec 05 01:15 PM -- 01:20 PM (PST) @ Room 517 CD
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?
In Wed Track 3 -- Session 2
Richard Zhang · Cedric Josz · Somayeh Sojoudi · Javad Lavaei
Spotlight
Wed Dec 05 01:20 PM -- 01:25 PM (PST) @ Room 220 CD
Playing hard exploration games by watching YouTube
In Wed Track 1 -- Session 2
Yusuf Aytar · Tobias Pfaff · David Budden · Thomas Paine · Ziyu Wang · Nando de Freitas
Spotlight
Wed Dec 05 01:20 PM -- 01:25 PM (PST) @ Room 220 E
Adversarially Robust Optimization with Gaussian Processes
In Wed Track 2 -- Session 2
Ilija Bogunovic · Jonathan Scarlett · Stefanie Jegelka · Volkan Cevher
Spotlight
Wed Dec 05 01:20 PM -- 01:25 PM (PST) @ Room 517 CD
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator
In Wed Track 3 -- Session 2
Cong Fang · Chris Junchi Li · Zhouchen Lin · Tong Zhang
Spotlight
Wed Dec 05 01:40 PM -- 01:45 PM (PST) @ Room 220 CD
Reducing Network Agnostophobia
In Wed Track 1 -- Session 2
Akshay Raj Dhamija · Manuel Günther · Terrance Boult
Spotlight
Wed Dec 05 01:40 PM -- 01:45 PM (PST) @ Room 220 E
DAGs with NO TEARS: Continuous Optimization for Structure Learning
In Wed Track 2 -- Session 2
Xun Zheng · Bryon Aragam · Pradeep Ravikumar · Eric Xing
Spotlight
Wed Dec 05 01:40 PM -- 01:45 PM (PST) @ Room 517 CD
Natasha 2: Faster Non-Convex Optimization Than SGD
In Wed Track 3 -- Session 2
Zeyuan Allen-Zhu
Spotlight
Wed Dec 05 01:45 PM -- 01:50 PM (PST) @ Room 220 CD
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
In Wed Track 1 -- Session 2
Alessandro Achille · Tom Eccles · Loic Matthey · Chris Burgess · Nicholas Watters · Alexander Lerchner · Irina Higgins
Spotlight
Wed Dec 05 01:45 PM -- 01:50 PM (PST) @ Room 220 E
Proximal Graphical Event Models
In Wed Track 2 -- Session 2
Debarun Bhattacharjya · Dharmashankar Subramanian · Tian Gao
Spotlight
Wed Dec 05 01:45 PM -- 01:50 PM (PST) @ Room 517 CD
Escaping Saddle Points in Constrained Optimization
In Wed Track 3 -- Session 2
Aryan Mokhtari · Asuman Ozdaglar · Ali Jadbabaie
Spotlight
Wed Dec 05 01:50 PM -- 01:55 PM (PST) @ Room 220 CD
Geometrically Coupled Monte Carlo Sampling
In Wed Track 1 -- Session 2
Mark Rowland · Krzysztof Choromanski · François Chalus · Aldo Pacchiano · Tamas Sarlos · Richard Turner · Adrian Weller
Spotlight
Wed Dec 05 01:50 PM -- 01:55 PM (PST) @ Room 220 E
Heterogeneous Multi-output Gaussian Process Prediction
In Wed Track 2 -- Session 2
Pablo Moreno-Muñoz · Antonio Artés · Mauricio Álvarez
Spotlight
Wed Dec 05 01:50 PM -- 01:55 PM (PST) @ Room 517 CD
On Coresets for Logistic Regression
In Wed Track 3 -- Session 2
Alexander Munteanu · Chris Schwiegelshohn · Christian Sohler · David Woodruff
Spotlight
Wed Dec 05 01:55 PM -- 02:00 PM (PST) @ Room 220 CD
Scalable Laplacian K-modes
In Wed Track 1 -- Session 2
Imtiaz Ziko · Eric Granger · Ismail Ben Ayed
Spotlight
Wed Dec 05 01:55 PM -- 02:00 PM (PST) @ Room 220 E
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
In Wed Track 2 -- Session 2
Jacob Gardner · Geoff Pleiss · Kilian Weinberger · David Bindel · Andrew Wilson
Spotlight
Wed Dec 05 01:55 PM -- 02:00 PM (PST) @ Room 517 CD
Legendre Decomposition for Tensors
In Wed Track 3 -- Session 2
Mahito Sugiyama · Hiroyuki Nakahara · Koji Tsuda
Spotlight
Thu Dec 06 06:45 AM -- 06:50 AM (PST) @ Room 220 CD
Learning with SGD and Random Features
In Thu Track 1 -- Session 1
Luigi Carratino · Alessandro Rudi · Lorenzo Rosasco
Spotlight
Thu Dec 06 06:45 AM -- 06:50 AM (PST) @ Room 220 E
Graphical model inference: Sequential Monte Carlo meets deterministic approximations
In Thu Track 2 -- Session 1
Fredrik Lindsten · Jouni Helske · Matti Vihola
Spotlight
Thu Dec 06 06:45 AM -- 06:50 AM (PST) @ Room 517 CD
Boolean Decision Rules via Column Generation
In Thu Track 3 -- Session 1
Sanjeeb Dash · Oktay Gunluk · Dennis Wei
Spotlight
Thu Dec 06 06:50 AM -- 06:55 AM (PST) @ Room 220 CD
KONG: Kernels for ordered-neighborhood graphs
In Thu Track 1 -- Session 1
Moez Draief · Konstantin Kutzkov · Kevin Scaman · Milan Vojnovic
Spotlight
Thu Dec 06 06:50 AM -- 06:55 AM (PST) @ Room 220 E
Boosting Black Box Variational Inference
In Thu Track 2 -- Session 1
Francesco Locatello · Gideon Dresdner · Rajiv Khanna · Isabel Valera · Gunnar Ratsch
Spotlight
Thu Dec 06 06:50 AM -- 06:55 AM (PST) @ Room 517 CD
Fast greedy algorithms for dictionary selection with generalized sparsity constraints
In Thu Track 3 -- Session 1
Kaito Fujii · Tasuku Soma
Spotlight
Thu Dec 06 06:55 AM -- 07:00 AM (PST) @ Room 220 CD
Quadrature-based features for kernel approximation
In Thu Track 1 -- Session 1
Marina Munkhoeva · Yermek Kapushev · Evgeny Burnaev · Ivan Oseledets
Spotlight
Thu Dec 06 06:55 AM -- 07:00 AM (PST) @ Room 220 E
Discretely Relaxing Continuous Variables for tractable Variational Inference
In Thu Track 2 -- Session 1
Trefor Evans · Prasanth Nair
Spotlight
Thu Dec 06 06:55 AM -- 07:00 AM (PST) @ Room 517 CD
Distributed $k$-Clustering for Data with Heavy Noise
In Thu Track 3 -- Session 1
Shi Li · Xiangyu Guo
Spotlight
Thu Dec 06 07:00 AM -- 07:05 AM (PST) @ Room 220 CD
Statistical and Computational Trade-Offs in Kernel K-Means
In Thu Track 1 -- Session 1
Daniele Calandriello · Lorenzo Rosasco
Spotlight
Thu Dec 06 07:00 AM -- 07:05 AM (PST) @ Room 220 E
Implicit Reparameterization Gradients
In Thu Track 2 -- Session 1
Mikhail Figurnov · Shakir Mohamed · Andriy Mnih
Spotlight
Thu Dec 06 07:00 AM -- 07:05 AM (PST) @ Room 517 CD
Do Less, Get More: Streaming Submodular Maximization with Subsampling
In Thu Track 3 -- Session 1
Moran Feldman · Amin Karbasi · Ehsan Kazemi
Spotlight
Thu Dec 06 07:20 AM -- 07:25 AM (PST) @ Room 220 CD
Why Is My Classifier Discriminatory?
In Thu Track 1 -- Session 1
Irene Chen · Fredrik Johansson · David Sontag
Spotlight
Thu Dec 06 07:20 AM -- 07:25 AM (PST) @ Room 220 E
Mirrored Langevin Dynamics
In Thu Track 2 -- Session 1
Ya-Ping Hsieh · Ali Kavis · Paul Rolland · Volkan Cevher
Spotlight
Thu Dec 06 07:20 AM -- 07:25 AM (PST) @ Room 517 CD
Overlapping Clustering Models, and One (class) SVM to Bind Them All
In Thu Track 3 -- Session 1
Xueyu Mao · Purnamrita Sarkar · Deepayan Chakrabarti
Spotlight
Thu Dec 06 07:25 AM -- 07:30 AM (PST) @ Room 220 CD
Human-in-the-Loop Interpretability Prior
In Thu Track 1 -- Session 1
Isaac Lage · Andrew Ross · Samuel J Gershman · Been Kim · Finale Doshi-Velez
Spotlight
Thu Dec 06 07:25 AM -- 07:30 AM (PST) @ Room 220 E
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization
In Thu Track 2 -- Session 1
Pan Xu · Jinghui Chen · Difan Zou · Quanquan Gu
Spotlight
Thu Dec 06 07:25 AM -- 07:30 AM (PST) @ Room 517 CD
Removing the Feature Correlation Effect of Multiplicative Noise
In Thu Track 3 -- Session 1
Zijun Zhang · Yining Zhang · Zongpeng Li
Spotlight
Thu Dec 06 07:30 AM -- 07:35 AM (PST) @ Room 220 CD
Link Prediction Based on Graph Neural Networks
In Thu Track 1 -- Session 1
Muhan Zhang · Yixin Chen
Spotlight
Thu Dec 06 07:30 AM -- 07:35 AM (PST) @ Room 220 E
Identification and Estimation of Causal Effects from Dependent Data
In Thu Track 2 -- Session 1
Eli Sherman · Ilya Shpitser
Spotlight
Thu Dec 06 07:30 AM -- 07:35 AM (PST) @ Room 517 CD
Connectionist Temporal Classification with Maximum Entropy Regularization
In Thu Track 3 -- Session 1
Hu Liu · Sheng Jin · Changshui Zhang
Spotlight
Thu Dec 06 07:35 AM -- 07:40 AM (PST) @ Room 220 CD
Realistic Evaluation of Deep Semi-Supervised Learning Algorithms
In Thu Track 1 -- Session 1
Avital Oliver · Augustus Odena · Colin A Raffel · Ekin Dogus Cubuk · Ian Goodfellow
Spotlight
Thu Dec 06 07:35 AM -- 07:40 AM (PST) @ Room 220 E
Causal Inference via Kernel Deviance Measures
In Thu Track 2 -- Session 1
Jovana Mitrovic · Dino Sejdinovic · Yee Whye Teh
Spotlight
Thu Dec 06 07:35 AM -- 07:40 AM (PST) @ Room 517 CD
Entropy and mutual information in models of deep neural networks
In Thu Track 3 -- Session 1
Marylou Gabrié · Andre Manoel · Clément Luneau · jean barbier · Nicolas Macris · Florent Krzakala · Lenka Zdeborová
Spotlight
Thu Dec 06 07:40 AM -- 07:45 AM (PST) @ Room 220 CD
Automatic differentiation in ML: Where we are and where we should be going
In Thu Track 1 -- Session 1
Bart van Merriënboer · Olivier Breuleux · Arnaud Bergeron · Pascal Lamblin
Spotlight
Thu Dec 06 07:40 AM -- 07:45 AM (PST) @ Room 220 E
Removing Hidden Confounding by Experimental Grounding
In Thu Track 2 -- Session 1
Nathan Kallus · Aahlad Puli · Uri Shalit
Spotlight
Thu Dec 06 07:40 AM -- 07:45 AM (PST) @ Room 517 CD
The committee machine: Computational to statistical gaps in learning a two-layers neural network
In Thu Track 3 -- Session 1
Benjamin Aubin · Antoine Maillard · jean barbier · Florent Krzakala · Nicolas Macris · Lenka Zdeborová
Spotlight
Thu Dec 06 12:30 PM -- 12:35 PM (PST) @ Room 220 CD
Robust Subspace Approximation in a Stream
In Thu Track 1 -- Session 2
Roie Levin · Anish Prasad Sevekari · David Woodruff
Spotlight
Thu Dec 06 12:30 PM -- 12:35 PM (PST) @ Room 220 E
Hyperbolic Neural Networks
In Thu Track 2 -- Session 2
Octavian Ganea · Gary Becigneul · Thomas Hofmann
Spotlight
Thu Dec 06 12:30 PM -- 12:35 PM (PST) @ Room 517 CD
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization
In Thu Track 3 -- Session 2
Zhize Li · Jian Li
Spotlight
Thu Dec 06 12:35 PM -- 12:40 PM (PST) @ Room 220 CD
Efficient nonmyopic batch active search
In Thu Track 1 -- Session 2
Shali Jiang · Gustavo Malkomes · Matthew Abbott · Benjamin Moseley · Roman Garnett
Spotlight
Thu Dec 06 12:35 PM -- 12:40 PM (PST) @ Room 220 E
Norm matters: efficient and accurate normalization schemes in deep networks
In Thu Track 2 -- Session 2
Elad Hoffer · Ron Banner · Itay Golan · Daniel Soudry
Spotlight
Thu Dec 06 12:35 PM -- 12:40 PM (PST) @ Room 517 CD
Stochastic Chebyshev Gradient Descent for Spectral Optimization
In Thu Track 3 -- Session 2
Insu Han · Haim Avron · Jinwoo Shin
Spotlight
Thu Dec 06 12:40 PM -- 12:45 PM (PST) @ Room 220 CD
Interactive Structure Learning with Structural Query-by-Committee
In Thu Track 1 -- Session 2
Christopher Tosh · Sanjoy Dasgupta
Spotlight
Thu Dec 06 12:40 PM -- 12:45 PM (PST) @ Room 220 E
Constructing Fast Network through Deconstruction of Convolution
In Thu Track 2 -- Session 2
Yunho Jeon · Junmo Kim
Spotlight
Thu Dec 06 12:40 PM -- 12:45 PM (PST) @ Room 517 CD
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
In Thu Track 3 -- Session 2
Tianyi Chen · Georgios Giannakis · Tao Sun · Wotao Yin
Spotlight
Thu Dec 06 12:45 PM -- 12:50 PM (PST) @ Room 220 CD
Contour location via entropy reduction leveraging multiple information sources
In Thu Track 1 -- Session 2
Alexandre Marques · Remi Lam · Karen Willcox
Spotlight
Thu Dec 06 12:45 PM -- 12:50 PM (PST) @ Room 220 E
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
In Thu Track 2 -- Session 2
Kimin Lee · Kibok Lee · Honglak Lee · Jinwoo Shin
Spotlight
Thu Dec 06 12:45 PM -- 12:50 PM (PST) @ Room 517 CD
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
In Thu Track 3 -- Session 2
Geneviève Robin · Hoi-To Wai · Julie Josse · Olga Klopp · Eric Moulines
Spotlight
Thu Dec 06 01:05 PM -- 01:10 PM (PST) @ Room 220 CD
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes
In Thu Track 1 -- Session 2
Andrea Tirinzoni · Marek Petrik · Xiangli Chen · Brian Ziebart
Spotlight
Thu Dec 06 01:05 PM -- 01:10 PM (PST) @ Room 220 E
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction
In Thu Track 2 -- Session 2
Kevin Ellis · Lucas Morales · Mathias Sablé-Meyer · Armando Solar-Lezama · Josh Tenenbaum
Spotlight
Thu Dec 06 01:05 PM -- 01:10 PM (PST) @ Room 517 CD
Direct Runge-Kutta Discretization Achieves Acceleration
In Thu Track 3 -- Session 2
Jingzhao Zhang · Aryan Mokhtari · Suvrit Sra · Ali Jadbabaie
Spotlight
Thu Dec 06 01:10 PM -- 01:15 PM (PST) @ Room 220 CD
Learning convex bounds for linear quadratic control policy synthesis
In Thu Track 1 -- Session 2
Jack Umenberger · Thomas Schön
Spotlight
Thu Dec 06 01:10 PM -- 01:15 PM (PST) @ Room 220 E
Learning Loop Invariants for Program Verification
In Thu Track 2 -- Session 2
Xujie Si · Hanjun Dai · Mukund Raghothaman · Mayur Naik · Le Song
Spotlight
Thu Dec 06 01:10 PM -- 01:15 PM (PST) @ Room 517 CD
Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives
In Thu Track 3 -- Session 2
Song Zhou · Swati Gupta · Madeleine Udell
Spotlight
Thu Dec 06 01:15 PM -- 01:20 PM (PST) @ Room 220 CD
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning
In Thu Track 1 -- Session 2
Yonathan Efroni · Gal Dalal · Bruno Scherrer · Shie Mannor
Spotlight
Thu Dec 06 01:15 PM -- 01:20 PM (PST) @ Room 220 E
DeepProbLog: Neural Probabilistic Logic Programming
In Thu Track 2 -- Session 2
Robin Manhaeve · Sebastijan Dumancic · Angelika Kimmig · Thomas Demeester · Luc De Raedt
Spotlight
Thu Dec 06 01:15 PM -- 01:20 PM (PST) @ Room 517 CD
(Probably) Concave Graph Matching
In Thu Track 3 -- Session 2
Haggai Maron · Yaron Lipman
Spotlight
Thu Dec 06 01:20 PM -- 01:25 PM (PST) @ Room 220 CD
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
In Thu Track 1 -- Session 2
Kurtland Chua · Roberto Calandra · Rowan McAllister · Sergey Levine
Spotlight
Thu Dec 06 01:20 PM -- 01:25 PM (PST) @ Room 220 E
Learning to Infer Graphics Programs from Hand-Drawn Images
In Thu Track 2 -- Session 2
Kevin Ellis · Daniel Ritchie · Armando Solar-Lezama · Josh Tenenbaum
Spotlight
Thu Dec 06 01:20 PM -- 01:25 PM (PST) @ Room 517 CD
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization
In Thu Track 3 -- Session 2
Blake Woodworth · Jialei Wang · Adam Smith · Brendan McMahan · Nati Srebro
Spotlight
Thu Dec 06 01:40 PM -- 01:45 PM (PST) @ Room 220 CD
Bilevel learning of the Group Lasso structure
In Thu Track 1 -- Session 2
Jordan Frecon · Saverio Salzo · Massimiliano Pontil
Spotlight
Thu Dec 06 01:40 PM -- 01:45 PM (PST) @ Room 220 E
Improving Neural Program Synthesis with Inferred Execution Traces
In Thu Track 2 -- Session 2
Richard Shin · Illia Polosukhin · Dawn Song
Spotlight
Thu Dec 06 01:40 PM -- 01:45 PM (PST) @ Room 517 CD
Wasserstein Distributionally Robust Kalman Filtering
In Thu Track 3 -- Session 2
Soroosh Shafieezadeh Abadeh · Viet Anh Nguyen · Daniel Kuhn · Peyman Mohajerin Esfahani
Spotlight
Thu Dec 06 01:45 PM -- 01:50 PM (PST) @ Room 220 CD
Binary Classification from Positive-Confidence Data
In Thu Track 1 -- Session 2
Takashi Ishida · Gang Niu · Masashi Sugiyama
Spotlight
Thu Dec 06 01:45 PM -- 01:50 PM (PST) @ Room 220 E
ResNet with one-neuron hidden layers is a Universal Approximator
In Thu Track 2 -- Session 2
Hongzhou Lin · Stefanie Jegelka
Spotlight
Thu Dec 06 01:45 PM -- 01:50 PM (PST) @ Room 517 CD
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters
In Thu Track 3 -- Session 2
Pavel Dvurechenskii · Darina Dvinskikh · Alexander Gasnikov · Cesar Uribe · Angelia Nedich
Spotlight
Thu Dec 06 01:50 PM -- 01:55 PM (PST) @ Room 220 CD
Fully Understanding The Hashing Trick
In Thu Track 1 -- Session 2
Casper B. Freksen · Lior Kamma · Kasper Green Larsen
Spotlight
Thu Dec 06 01:50 PM -- 01:55 PM (PST) @ Room 220 E
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation
In Thu Track 2 -- Session 2
Liwei Wang · Lunjia Hu · Jiayuan Gu · Zhiqiang Hu · Yue Wu · Kun He · John Hopcroft
Spotlight
Thu Dec 06 01:50 PM -- 01:55 PM (PST) @ Room 517 CD
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets
In Thu Track 3 -- Session 2
Rui Gao · Liyan Xie · Yao Xie · Huan Xu
Spotlight
Thu Dec 06 01:55 PM -- 02:00 PM (PST) @ Room 220 CD
Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds
In Thu Track 1 -- Session 2
Raghav Somani · Chirag Gupta · Prateek Jain · Praneeth Netrapalli
Spotlight
Thu Dec 06 01:55 PM -- 02:00 PM (PST) @ Room 220 E
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
In Thu Track 2 -- Session 2
Zhilu Zhang · Mert Sabuncu
Spotlight
Thu Dec 06 01:55 PM -- 02:00 PM (PST) @ Room 517 CD
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property
In Thu Track 3 -- Session 2
Yi Zhou · Zhe Wang · Yingbin Liang