2 citations · 2 across the 5 of their papers we have counts for
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cs.LG2024
Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits
Brian Cho, Dominik Meier, Kyra Gan +1
In multi-armed bandits, the tasks of reward maximization and pure exploration are often at odds with each other. The former focuses on exploiting arms with the highest means, while…
cs.LG2024
CSPI-MT: Calibrated Safe Policy Improvement with Multiple Testing for Threshold Policies
Brian M Cho, Ana-Roxana Pop, Kyra Gan +4
When modifying existing policies in high-risk settings, it is often necessary to ensure with high certainty that the newly proposed policy improves upon a baseline, such as the sta…
stat.ME2024★ 2 cited
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
Brian Cho, Kyra Gan, Nathan Kallus
We propose a novel nonparametric sequential test for composite hypotheses for means of multiple data streams. Our proposed method, \emph{peeking with expectation-based averaged cap…