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Bibhas Chakraborty
Latest
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions
Artificial Intelligence-based Decision Support Systems for Precision and Digital Health
Thompson sampling for count data in mobile health trials (Invited Talk @ University of Cambridge)
Incorporating Participants' Welfare into Sequential Multiple Assignment Randomized Trials
Modeling considerations when optimizing adaptive experiments under the reinforcement learning framework (Invited Talk @ ICSDS2023)
Microrandomized Trials: Developing Just-in-Time Adaptive Interventions for Better Public Health
Dynamic Treatment Regimes for Optimizing Healthcare
Daily Motivational Text Messages to Promote Physical Activity in University Students: Results From a Microrandomized Trial
Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions
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