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Sofia S. Villar

Multi-disciplinary fairness considerations in machine learning for clinical trials

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May 18, 2022
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Some performance considerations when using multi-armed bandit algorithms in the presence of missing data

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May 08, 2022
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Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization

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Dec 21, 2021
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Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling

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Oct 30, 2021
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Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments

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Mar 26, 2021
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Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints

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Jun 15, 2020
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