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Poster
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Tue 16:30 |
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems Suhas Kowshik · Dheeraj Nagaraj · Prateek Jain · Praneeth Netrapalli |
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Spotlight
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Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning Kai Wang · Sanket Shah · Haipeng Chen · Andrew Perrault · Finale Doshi-Velez · Milind Tambe |
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Poster
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Wed 0:30 |
Rate-Optimal Subspace Estimation on Random Graphs Zhixin Zhou · Fan Zhou · Ping Li · Cun-Hui Zhang |
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Poster
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Thu 0:30 |
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning Scott Sussex · Caroline Uhler · Andreas Krause |
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Poster
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Tue 8:30 |
$\texttt{LeadCache}$: Regret-Optimal Caching in Networks Debjit Paria · Abhishek Sinha |
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Poster
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Thu 16:30 |
A Biased Graph Neural Network Sampler with Near-Optimal Regret Qingru Zhang · David Wipf · Quan Gan · Le Song |
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Poster
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Fri 8:30 |
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning Ali Taghibakhshi · Scott MacLachlan · Luke Olson · Matthew West |
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Poster
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Thu 8:30 |
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum Prashant Khanduri · Siliang Zeng · Mingyi Hong · Hoi-To Wai · Zhaoran Wang · Zhuoran Yang |
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Poster
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Tue 8:30 |
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance Sudeep Salgia · Sattar Vakili · Qing Zhao |
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Oral
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Tue 0:20 |
Near-Optimal No-Regret Learning in General Games Constantinos Daskalakis · Maxwell Fishelson · Noah Golowich |
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Poster
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Thu 16:30 |
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning Prashant Khanduri · PRANAY SHARMA · Haibo Yang · Mingyi Hong · Jia Liu · Ketan Rajawat · Pramod Varshney |
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Workshop
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Near-Optimal No-Regret Learning in General Games Constantinos Daskalakis · Maxwell Fishelson · Noah Golowich |