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The 2020 schedule is still incomplete
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Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
Xiang Jiang · Qicheng Lao · Stan Matwin · Mohammad Havaei
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
Sanghamitra Dutta · Dennis Wei · Hazar Yueksel · Pin-Yu Chen · Sijia Liu · Kush Varshney
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion
Nghia Hoang · Thanh Lam · Bryan Kian Hsiang Low · Patrick Jaillet
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model
Ying Jin · Zhaoran Wang · Junwei Lu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning
Lingxiao Wang · Zhuoran Yang · Zhaoran Wang
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
Dipendra Kumar Misra · Mikael Henaff · Akshay Krishnamurthy · John Langford
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie · Tero Karras · Animesh Garg · Shoubhik Debnath · Anjul Patney · Ankit Patel · Anima Anandkumar
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos
Subhroshekhar Ghosh · Krishna Balasubramanian · Xiaochuan Yang
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Perceptual Generative Autoencoders
Zijun Zhang · Ruixiang ZHANG · Zongpeng Li · Yoshua Bengio · Liam Paull
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models
Amrita Roy Chowdhury · Theodoros Rekatsinas · Somesh Jha
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Provable Smoothness Guarantees for Black-Box Variational Inference
Justin Domke
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Model-Based Reinforcement Learning with Value-Targeted Regression
Alex Ayoub · Zeyu Jia · Csaba Szepesvari · Mengdi Wang · Lin Yang
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games
Zhongxiang Dai · Yizhou Chen · Bryan Kian Hsiang Low · Patrick Jaillet · Teck-Hua Ho
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Time-aware Large Kernel Convolutions
Vasileios Lioutas · Yuhong Guo
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Educating Text Autoencoders: Latent Representation Guidance via Denoising
Tianxiao Shen · Jonas Mueller · Regina Barzilay · Tommi Jaakkola
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Simultaneous Inference for Massive Data: Distributed Bootstrap
Yang Yu · Shih-Kang Chao · Guang Cheng
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
On Leveraging Pretrained GANs for Generation with Limited Data
Miaoyun Zhao · Yulai Cong · Lawrence Carin
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model
Peng Wang · Zirui Zhou · Anthony Man-Cho So
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
On Efficient Constructions of Checkpoints
Yu Chen · Zhenming LIU · Bin Ren · Xin Jin
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Distribution Augmentation for Generative Modeling
Heewoo Jun · Rewon Child · Mark Chen · John Schulman · Aditya Ramesh · Alec Radford · Ilya Sutskever
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games
Youzhi Zhang · Bo An
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Doubly robust off-policy evaluation with shrinkage
Yi Su · Maria Dimakopoulou · Akshay Krishnamurthy · Miroslav Dudik
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Understanding and Stabilizing GANs' Training Dynamics Using Control Theory
Kun Xu · Chongxuan Li · Jun Zhu · Bo Zhang
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference
Michael Zhu · Chang Liu · Jun Zhu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images
Zhizhong Han · Chao Chen · Yushen Liu · Matthias Zwicker
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Online Learning with Imperfect Hints
Aditya Bhaskara · Ashok Cutkosky · Ravi Kumar · Manish Purohit
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Xuezhou Zhang · Yuzhe Ma · Adish Singla · Jerry Zhu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Lorentz Group Equivariant Neural Network for Particle Physics
Alexander Bogatskiy · Brandon Anderson · Jan T Offermann · Marwah Roussi · David Miller · Risi Kondor
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Adversarial Attacks on Copyright Detection Systems
Parsa Saadatpanah · Ali Shafahi · Tom Goldstein
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
ACFlow: Flow Models for Arbitrary Conditional Likelihoods
Yang Li · Shoaib Akbar · Junier Oliva
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Optimal Differential Privacy Composition for Exponential Mechanisms
Jinshuo Dong · David Durfee · Ryan Rogers
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Graph Structure of Neural Networks
Jiaxuan You · Jure Leskovec · Kaiming He · Saining Xie
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia · Eugene Belilovsky · Massimo Caccia · Joelle Pineau
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False
Zehua Lai · Lek-Heng Lim
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
ConQUR: Mitigating Delusional Bias in Deep Q-Learning
DiJia Su · Jayden Ooi · Tyler Lu · Dale Schuurmans · Craig Boutilier
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
No-Regret and Incentive-Compatible Online Learning
Rupert Freeman · David Pennock · Chara Podimata · Jennifer Wortman Vaughan
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Goal-Aware Prediction: Learning to Model What Matters
Suraj Nair · Silvio Savarese · Chelsea Finn
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks
Marko Vasic · Cameron Chalk · Sarfraz Khurshid · David Soloveichik
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Multi-Objective Molecule Generation using Interpretable Substructures
Wengong Jin · Regina Barzilay · Tommi Jaakkola
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Goodness-of-Fit Tests for Inhomogeneous Random Graphs
Soham Dan · Bhaswar B. Bhattacharya
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Momentum Improves Normalized SGD
Ashok Cutkosky · Harsh Mehta
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates
Jeff Calder · Brendan Cook · Matthew Thorpe · Dejan Slepcev
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Efficient Continuous Pareto Exploration in Multi-Task Learning
Pingchuan Ma · Tao Du · Wojciech Matusik
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information
Karl Stratos · Sam Wiseman
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Uniform Convergence of Rank-weighted Learning
Justin Khim · Liu Leqi · Adarsh Prasad · Pradeep Ravikumar
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
Lin Yang · Mengdi Wang
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Semi-Supervised Learning with Normalizing Flows
Pavel Izmailov · Polina Kirichenko · Marc Finzi · Andrew Wilson
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models
Lin Chen · Yifei Min · Mingrui Zhang · Amin Karbasi
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT) @ Virtual
Better depth-width trade-offs for neural networks through the lens of dynamical systems
Evangelos Chatziafratis · Sai Ganesh Nagarajan · Ioannis Panageas
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Normalized Loss Functions for Deep Learning with Noisy Labels
Xingjun Ma · Hanxun Huang · Yisen Wang · Simone Romano · Sarah Erfani · James Bailey
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Improving generalization by controlling label-noise information in neural network weights
Hrayr Harutyunyan · Kyle Reing · Greg Ver Steeg · Aram Galstyan
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Graph Optimal Transport for Cross-Domain Alignment
Liqun Chen · Zhe Gan · Yu Cheng · Linjie Li · Lawrence Carin · Jingjing Liu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment
Feng Zhu · Zeyu Zheng
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data
Di Wang · Hanshen Xiao · Srinivas Devadas · Jinhui Xu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence
Lijun Ding · Yingjie Fei · Qiantong Xu · Chengrun Yang
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation
Zhe Feng · David Parkes · Haifeng Xu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
On hyperparameter tuning in general clustering problemsm
Xinjie Fan · Yuguang Yue · Purnamrita Sarkar · Y. X. Rachel Wang
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Variational Inference for Sequential Data with Future Likelihood Estimates
Geon-Hyeong Kim · Youngsoo Jang · Hongseok Yang · Kee-Eung Kim
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Generalization via Derandomization
Jeffrey Negrea · Gintare Karolina Dziugaite · Daniel Roy
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
Denny Zhou · Mao Ye · Chen Chen · Tianjian Meng · Mingxing Tan · Xiaodan Song · Quoc Le · Qiang Liu · Dale Schuurmans
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Stochastic Hamiltonian Gradient Methods for Smooth Games
Nicolas Loizou · Hugo Berard · Alexia Jolicoeur-Martineau · Pascal Vincent · Simon Lacoste-Julien · Ioannis Mitliagkas
[ Slides
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
Shengpu Tang · Aditya Modi · Michael Sjoding · Jenna Wiens
[ Slides