Filter by Keyword:

Results

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