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Poster
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Tue 17:00
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Generalized Implicit Follow-The-Regularized-Leader
Keyi Chen · Francesco Orabona
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Poster
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Thu 16:30
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An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning
WOOJUN KIM · Youngchul Sung
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Poster
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Tue 17:00
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Regularization-free Diffeomorphic Temporal Alignment Nets
Ron Shapira Weber · Oren Freifeld
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Poster
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Tue 17:00
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Optimistic Planning by Regularized Dynamic Programming
Antoine Moulin · Gergely Neu
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Poster
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Tue 17:00
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The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning
Sarah Rathnam · Sonali Parbhoo · Weiwei Pan · Susan Murphy · Finale Doshi-Velez
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Poster
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Tue 14:00
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Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
Toshinori Kitamura · Tadashi Kozuno · Yunhao Tang · Nino Vieillard · Michal Valko · Wenhao Yang · Jincheng Mei · Pierre Menard · Mohammad Gheshlaghi Azar · Remi Munos · Olivier Pietquin · Matthieu Geist · Csaba Szepesvari · Wataru Kumagai · Yutaka Matsuo
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Poster
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Tue 17:00
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Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach
Tri Nguyen · Shahana Ibrahim · Xiao Fu
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Poster
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Thu 16:30
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Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression
Mo Zhou · Rong Ge
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Poster
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Tue 14:00
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Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
Dongyoon Yang · Insung Kong · Yongdai Kim
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Poster
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Thu 13:30
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Implicit Jacobian regularization weighted with impurity of probability output
Sungyoon Lee · Jinseong Park · Jaewook Lee
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Poster
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Wed 17:00
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Regularizing Towards Soft Equivariance Under Mixed Symmetries
Hyunsu Kim · Hyungi Lee · Hongseok Yang · Juho Lee
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Poster
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Thu 13:30
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Effective Neural Topic Modeling with Embedding Clustering Regularization
Xiaobao Wu · Xinshuai Dong · Thong Nguyen · Anh Tuan Luu
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