A copula-based Bayesian framework for doping detection.
Comput. Stat., April, 2025
Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge.
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Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025
Artificial Intelligence-based Decision Support Systems for Precision and Digital Health.
CoRR, 2024
Anomaly Detection in Multivariate Profiles with Conformal Bayesian Inference.
Proceedings of the 13th Symposium on Conformal and Probabilistic Prediction with Applications, 2024
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health.
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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study.
CoRR, 2023
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions.
CoRR, 2022
Multi-disciplinary fairness considerations in machine learning for clinical trials.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions.
J. Am. Medical Informatics Assoc., 2021
Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization.
CoRR, 2021
Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling.
CoRR, 2021
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments.
CoRR, 2021
Challenges and opportunities of using reinforcement learning to optimize behavioral health interventions delivered via smartphones.
Proceedings of the AMIA 2020, 2020