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Workshop
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
Alexandre Rame · Guillaume Couairon · Corentin Dancette · Mustafa Shukor · Jean-Baptiste Gaya · Laure Soulier · Matthieu Cord
Workshop
Inverse Transition Learning for Characterizing Near-Optimal Dynamics in Offline Reinforcement Learning
Leo Benac · Sonali Parbhoo · Finale Doshi-Velez
Poster
Wed 14:00 A Nearly-Optimal Bound for Fast Regression with Guarantee
Zhao Song · Mingquan Ye · Junze Yin · Lichen Zhang
Poster
Wed 17:00 Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime
Hilal Asi · Vitaly Feldman · Tomer Koren · Kunal Talwar
Poster
Thu 16:30 GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
Salah GHAMIZI · Jingfeng ZHANG · Maxime Cordy · Mike Papadakis · Masashi Sugiyama · YVES LE TRAON
Poster
Thu 13:30 Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints
Donghao Li · Ruiquan Huang · Cong Shen · Jing Yang
Poster
Wed 14:00 Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs
Steinar Laenen · Bogdan Manghiuc · He Sun
Poster
Thu 16:30 A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints
Ming Shi · Yingbin LIANG · Ness Shroff
Poster
Thu 13:30 Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization
Chris Junchi Li · Angela Yuan · Gauthier Gidel · Quanquan Gu · Michael Jordan
Poster
Thu 13:30 Bayes-optimal Learning of Deep Random Networks of Extensive-width
Hugo Cui · FLORENT KRZAKALA · Lenka Zdeborova
Poster
Tue 17:00 Near-Optimal Quantum Coreset Construction Algorithms for Clustering
Yecheng Xue · Xiaoyu Chen · Tongyang Li · Shaofeng Jiang
Poster
Wed 17:00 Optimal No-Regret Learning for One-Sided Lipschitz Functions
PAUL DUETTING · Guru Guruganesh · Jon Schneider · Joshua Wang