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Poster
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Thu 13:30
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Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints
Donghao Li · Ruiquan Huang · Cong Shen · Jing Yang
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Poster
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Thu 13:30
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End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
Yves Rychener · Daniel Kuhn · Tobias Sutter
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Workshop
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Proximal Compositional Optimization for Distributionally Robust Learning
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Poster
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Tue 17:00
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Optimizing the Collaboration Structure in Cross-Silo Federated Learning
Wenxuan Bao · Haohan Wang · Jun Wu · Jingrui He
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Workshop
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Fri 12:10
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Invited Talk 1: Perturbed Optimizers for Learning
Quentin Berthet
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Workshop
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Fri 17:25
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Ce Zhang: Optimizing Communications and Data for Distributed and Decentralized Learning
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Workshop
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Optimizing Chatbot Fallback Intent Selections with Reinforcement Learning
Jeremy Curuksu
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Poster
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Wed 17:00
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Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning
Seungwoong Ha · Hawoong Jeong
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Oral
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Thu 18:24
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Continuation Path Learning for Homotopy Optimization
Xi Lin · Zhiyuan Yang · Xiaoyuan Zhang · Qingfu Zhang
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Poster
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Tue 14:00
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Continuation Path Learning for Homotopy Optimization
Xi Lin · Zhiyuan Yang · Xiaoyuan Zhang · Qingfu Zhang
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Workshop
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Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
Hanlin Zhu · Paria Rashidinejad · Jiantao Jiao
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Poster
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Wed 14:00
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Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective
Liangliang Shi · Gu Zhang · Haoyu Zhen · Jintao Fan · Junchi Yan
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