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Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Hierarchical Verification for Adversarial Robustness
Cong Han Lim · Raquel Urtasun · Ersin Yumer
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Correlation Clustering with Asymmetric Classification Errors
Jafar Jafarov · Sanchit Kalhan · Konstantin Makarychev · Yury Makarychev
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT) @ Virtual
Self-supervised Label Augmentation via Input Transformations
Hankook Lee · Sung Ju Hwang · Jinwoo Shin
[ Slides
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Stochastic bandits with arm-dependent delays
Anne Gael Manegueu · Claire Vernade · Alexandra Carpentier · Michal Valko
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT) @ Virtual
Quantized Decentralized Stochastic Learning over Directed Graphs
Hossein Taheri · Aryan Mokhtari · Hamed Hassani · Ramtin Pedarsani
[ Slides
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Efficiently Solving MDPs with Stochastic Mirror Descent
Yujia Jin · Aaron Sidford
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Handling the Positive-Definite Constraint in the Bayesian Learning Rule
Wu Lin · Mark Schmidt · Mohammad Emtiyaz Khan
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons
Wenbo Ren · Jia Liu · Ness Shroff
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
Agustinus Kristiadi · Matthias Hein · Philipp Hennig
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Small-GAN: Speeding up GAN Training using Core-Sets
Samrath Sinha · Han Zhang · Anirudh Goyal · Yoshua Bengio · Hugo Larochelle · Augustus Odena
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
How to Solve Fair k-Center in Massive Data Models
Ashish Chiplunkar · Sagar Kale · Sivaramakrishnan Natarajan Ramamoorthy
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT)
Continuous-time Lower Bounds for Gradient-based Algorithms
Michael Muehlebach · Michael Jordan
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT) @ Virtual
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun · Xiaolong Wang · Zhuang Liu · John Miller · Alexei Efros · Moritz Hardt
[ Slides
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT) @ Virtual
Hypernetwork approach to generating point clouds
Przemys┼éaw Spurek · Sebastian Winczowski · Jacek Tabor · Maciej Zamorski · Maciej Zieba · Tomasz Trzcinski
[ Slides
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks
Mert Pilanci · Tolga Ergen
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent
Karthik Abinav Sankararaman · Soham De · Zheng Xu · W. Ronny Huang · Tom Goldstein
[ Slides
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Fast computation of Nash Equilibria in Imperfect Information Games
Remi Munos · Julien Perolat · Jean-Baptiste Lespiau · Mark Rowland · Bart De Vylder · Marc Lanctot · Finbarr Timbers · Daniel Hennes · Shayegan Omidshafiei · Audrunas Gruslys · Mohammad Gheshlaghi Azar · Edward Lockhart · Karl Tuyls
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
A Game Theoretic Framework for Model Based Reinforcement Learning
Aravind Rajeswaran · Igor Mordatch · Vikash Kumar
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Learning Calibratable Policies using Programmatic Style-Consistency
Eric Zhan · Albert Tseng · Yisong Yue · Adith Swaminathan · Matthew Hausknecht
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT) @ Virtual
Time-Consistent Self-Supervision for Semi-Supervised Learning
Tianyi Zhou · Shengjie Wang · Jeff Bilmes
[ Slides
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Provable Representation Learning for Imitation Learning via Bi-level Optimization
Sanjeev Arora · Simon Du · Sham Kakade · Yuping Luo · Nikunj Umesh Saunshi
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Learning Representations that Support Extrapolation
Taylor Webb · Zachary Dulberg · Steven Frankland · Alexander Petrov · Randall O'Reilly · Jonathan Cohen
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Angelos Filos · Panagiotis Tigas · Rowan McAllister · Nicholas Rhinehart · Sergey Levine · Yarin Gal
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
AdaScale SGD: A User-Friendly Algorithm for Distributed Training
Tyler Johnson · Pulkit Agrawal · Haijie Gu · Carlos Guestrin
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT) @ Virtual
Learning to Simulate and Design for Structural Engineering
Kai-Hung Chang · Chin-Yi Cheng
[ Slides
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 10:00 PM -- 10:45 PM (PDT) @ Virtual
NetGAN without GAN: From Random Walks to Low-Rank Approximations
Luca Rendsburg · Holger Heidrich · Ulrike von Luxburg
[ Slides
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Batch Stationary Distribution Estimation
Junfeng Wen · Bo Dai · Lihong Li · Dale Schuurmans
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT) @ Virtual
Data Valuation using Reinforcement Learning
Jinsung Yoon · Sercan Arik · Tomas Pfister
[ Slides
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
Mike Dusenberry · Ghassen Jerfel · Yeming Wen · Yian Ma · Jasper Snoek · Katherine Heller · Balaji Lakshminarayanan · Dustin Tran
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Single Point Transductive Prediction
Nilesh Tripuraneni · Lester Mackey
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Evolutionary Topology Search for Tensor Network Decomposition
Chao Li · Zhun Sun
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health
Liangyu Zhu · Wenbin Lu · Rui Song
Poster
Wed Jul 15 10:00 AM -- 10:45 AM & Wed Jul 15 11:00 PM -- 11:45 PM (PDT)
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression
Changhee Lee · Mihaela van der Schaar