activity
20222026
most citedCharacterizing the robustness of Bayesian adaptive experimental designs to active learning bias

6 citations · 13 across the 12 of their papers we have counts for

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stat.ME2022

A Comparison of Methods for Adaptive Experimentation

Samantha Horn, Sabina J. Sloman

We use a simulation study to compare three methods for adaptive experimentation: Thompson sampling, Tempered Thompson sampling, and Exploration sampling. We gauge the performance o…

stat.ME2022★ 6 cited

Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias

Sabina J. Sloman, Daniel M. Oppenheimer, Stephen B. Broomell +1

Bayesian adaptive experimental design is a form of active learning, which chooses samples to maximize the information they give about uncertain parameters. Prior work has shown tha…