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Poster	Thu 8:30	A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models Ibrahim Alabdulmohsin · Mario Lucic
Poster	Thu 16:30	A Biased Graph Neural Network Sampler with Near-Optimal Regret Qingru Zhang · David Wipf · Quan Gan · Le Song
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
Poster	Tue 16:30	Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems Bo Sun · Russell Lee · Mohammad Hajiesmaili · Adam Wierman · Danny Tsang
Poster	Tue 8:30	Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness Ankit Garg · Robin Kothari · Praneeth Netrapalli · Suhail Sherif
Poster	Thu 0:30	Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning Scott Sussex · Caroline Uhler · Andreas Krause
Poster	Thu 0:30	Instance-optimal Mean Estimation Under Differential Privacy Ziyue Huang · Yuting Liang · Ke Yi
Poster	Tue 8:30	Near-Optimal Offline Reinforcement Learning via Double Variance Reduction Ming Yin · Yu Bai · Yu-Xiang Wang
Poster	Thu 8:30	Near-Optimal No-Regret Learning in General Games Constantinos Daskalakis · Maxwell Fishelson · Noah Golowich
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	Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization Arnab Maiti · Vishakha Patil · Arindam Khan
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