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Poster
Thu 16:30
A Biased Graph Neural Network Sampler with Near-Optimal Regret
Qingru Zhang · David Wipf · Quan Gan · Le Song
Poster
Thu 0:30
Instance-optimal Mean Estimation Under Differential Privacy
Ziyue Huang · Yuting Liang · Ke Yi
Poster
Wed 0:30
Rate-Optimal Subspace Estimation on Random Graphs
Zhixin Zhou · Fan Zhou · Ping Li · Cun-Hui Zhang
Poster
Wed 16:30
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
Gen Li · Laixi Shi · Yuxin Chen · Yuantao Gu · Yuejie Chi
Poster
Thu 8:30
Near-Optimal No-Regret Learning in General Games
Constantinos Daskalakis · Maxwell Fishelson · Noah Golowich
Spotlight
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
Poster
Thu 8:30
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models
Ibrahim Alabdulmohsin · Mario Lucic
Poster
Thu 0:30
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
Zhaoqiang Liu · Subhroshekhar Ghosh · Jonathan Scarlett
Poster
Tue 8:30
$\texttt{LeadCache}$: Regret-Optimal Caching in Networks
Debjit Paria · Abhishek Sinha
Poster
Tue 8:30
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
Ming Yin · Yu Bai · Yu-Xiang Wang
Poster
Tue 8:30
Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization
Arnab Maiti · Vishakha Patil · Arindam Khan
Poster
Tue 8:30
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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