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07/24/2023
Anytime Model Selection in Linear Bandits
Model selection in the context of bandit optimization is a challenging p...
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03/02/2023
Hallucinated Adversarial Control for Conservative Offline Policy Evaluation
We study the problem of conservative off-policy evaluation (COPE) where ...
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11/02/2022
Instance-Dependent Generalization Bounds via Optimal Transport
Existing generalization bounds fail to explain crucial factors that driv...
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10/27/2022
Lifelong Bandit Optimization: No Prior and No Regret
In practical applications, machine learning algorithms are often repeate...
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07/13/2022
Graph Neural Network Bandits
We consider the bandit optimization problem with the reward function def...
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02/01/2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making
Obtaining reliable, adaptive confidence sets for prediction functions (h...
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07/07/2021
