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Poster
Tue 21:00 Neutralizing Self-Selection Bias in Sampling for Sortition
Bailey Flanigan · Paul Gölz · Anupam Gupta · Ariel Procaccia
Poster
Thu 9:00 Discovering Reinforcement Learning Algorithms
Junhyuk Oh · Matteo Hessel · Wojciech Czarnecki · Zhongwen Xu · Hado van Hasselt · Satinder Singh · David Silver
Poster
Mon 21:00 When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
Zhaozhi Qian · Ahmed Alaa · Mihaela van der Schaar
Poster
Wed 9:00 Variational Interaction Information Maximization for Cross-domain Disentanglement
HyeongJoo Hwang · Geon-Hyeong Kim · Seunghoon Hong · Kee-Eung Kim
Poster
Tue 9:00 A Self-Tuning Actor-Critic Algorithm
Tom Zahavy · Zhongwen Xu · Vivek Veeriah · Matteo Hessel · Junhyuk Oh · Hado van Hasselt · David Silver · Satinder Singh
Oral
Wed 18:00 Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence
Feng Liu · Xiaoming Liu
Spotlight
Wed 7:20 Triple descent and the two kinds of overfitting: where & why do they appear?
Stéphane d'Ascoli · Levent Sagun · Giulio Biroli
Poster
Tue 9:00 Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
KwanYong Park · Sanghyun Woo · Inkyu Shin · In So Kweon
Poster
Tue 21:00 Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
Nian Si · Jose Blanchet · Soumyadip Ghosh · Mark Squillante
Poster
Tue 21:00 Planning with General Objective Functions: Going Beyond Total Rewards
Ruosong Wang · Peilin Zhong · Simon Du · Russ Salakhutdinov · Lin Yang
Spotlight
Wed 20:10 Estimation of Skill Distribution from a Tournament
Ali Jadbabaie · Anuran Makur · Devavrat Shah