94 citations · 229 across the 34 of their papers we have counts for
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cs.LG2023★ 1 cited
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling
Susobhan Ghosh, Raphael Kim, Prasidh Chhabria +5
There is a growing interest in using reinforcement learning (RL) to personalize sequences of treatments in digital health to support users in adopting healthier behaviors. Such seq…
stat.ML2023
Compress Then Test: Powerful Kernel Testing in Near-linear Time
Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey
Kernel two-sample testing provides a powerful framework for distinguishing any pair of distributions based on sample points. However, existing kernel tests either run in …