IntelligentPooling: Practical Thompson Sampling for mHealth

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IntelligentPooling: Practical Thompson Sampling for mHealth

Machine-mediated learning (ML), 2020

31 July 2020

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Papers citing "IntelligentPooling: Practical Thompson Sampling for mHealth"

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Title
Can we use LLMs to bootstrap reinforcement learning? -- A case study in digital health behavior change Nele Albers Esra Cemre Su de Groot Loes Keijsers Manon H. Hillegers Emiel Krahmer OffRL LM&MA 248 0 0 19 Nov 2025
The Nah Bandit: Modeling User Non-compliance in Recommendation SystemsIEEE Transactions on Control of Network Systems (TCNS), 2024 Tianyue Zhou Jung-Hoon Cho Cathy Wu OffRL 230 0 0 15 Aug 2024
Oralytics Reinforcement Learning Algorithm Anna L. Trella Kelly W. Zhang Stephanie M Carpenter David Elashoff Zara M Greer Inbal Nahum-Shani Dennis Ruenger Vivek Shetty Susan Murphy 101 1 0 19 Jun 2024
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions Easton K. Huch Jieru Shi Madeline R Abbott J. Golbus Alexander Moreno Walter Dempsey OffRL 152 0 0 11 Dec 2023
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health studyAnnals of Applied Statistics (AOAS), 2023 Xueqing Liu Nina Deliu Tanujit Chakraborty Lauren Bell Bibhas Chakraborty 122 3 0 24 Nov 2023
Adaptive Interventions with User-Defined Goals for Health Behavior Change Aishwarya Mandyam Matthew Joerke William Denton Barbara E. Engelhardt Emma Brunskill 241 3 0 16 Nov 2023
Designing and evaluating an online reinforcement learning agent for physical exercise recommendations in N-of-1 trials Dominik Meier I. Ensari Stefan Konigorski OnRL 72 1 0 25 Sep 2023
Revisiting Weighted Strategy for Non-stationary Parametric BanditsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Jing Wang Peng Zhao Zhihong Zhou 161 8 0 05 Mar 2023
Data-pooling Reinforcement Learning for Personalized Healthcare Intervention Xinyun Chen P. Shi Shanwen Pu OffRL 133 7 0 16 Nov 2022
Mixed-Effect Thompson SamplingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Imad Aouali Branislav Kveton S. Katariya OffRL 280 14 0 30 May 2022
A Deep Bayesian Bandits Approach for Anticancer Therapy: Exploration via Functional Prior Mingyu Lu Yifang Chen Su-In Lee 96 0 0 05 May 2022
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive InterventionsInternational Statistical Review (ISR), 2022 Nina Deliu Joseph Jay Williams B. Chakraborty OffRL 209 16 0 04 Mar 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 207 17 0 23 Feb 2022
Metadata-based Multi-Task Bandits with Bayesian Hierarchical ModelsNeural Information Processing Systems (NeurIPS), 2021 Runzhe Wan Linjuan Ge Rui Song 177 30 0 13 Aug 2021
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 213 16 0 10 Aug 2021
Fast Physical Activity Suggestions: Efficient Hyperparameter Learning in Mobile Health M. Menictas Sabina Tomkins Susan Murphy 130 2 0 21 Dec 2020
Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multi-Armed Bandit ApproachInformation systems research (ISR), 2020 Tongxin Zhou Yingfei Wang Lu L. Yan Yong Tan 126 34 0 13 Sep 2020