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Poster
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Tue 8:30
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A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance
Sudeep Salgia · Sattar Vakili · Qing Zhao
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Poster
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Tue 8:30
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Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization
Arnab Maiti · Vishakha Patil · Arindam Khan
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Poster
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Tue 8:30
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Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
Ming Yin · Yu Bai · Yu-Xiang Wang
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Poster
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Thu 8:30
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Near-Optimal No-Regret Learning in General Games
Constantinos Daskalakis · Maxwell Fishelson · Noah Golowich
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Poster
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Tue 8:30
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Towards Instance-Optimal Offline Reinforcement Learning with Pessimism
Ming Yin · Yu-Xiang Wang
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Poster
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Thu 8:30
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A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models
Ibrahim Alabdulmohsin · Mario Lucic
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Poster
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Thu 0:30
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Instance-optimal Mean Estimation Under Differential Privacy
Ziyue Huang · Yuting Liang · Ke Yi
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Poster
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Thu 0:30
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Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
Zhaoqiang Liu · Subhroshekhar Ghosh · Jonathan Scarlett
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Poster
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Thu 16:30
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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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Tue 16:30
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Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems
Bo Sun · Russell Lee · Mohammad Hajiesmaili · Adam Wierman · Danny Tsang
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Poster
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Tue 8:30
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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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Tue 8:30
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Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness
Ankit Garg · Robin Kothari · Praneeth Netrapalli · Suhail Sherif
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