IntelligentPooling: practical Thompson sampling for mHealth

DOI10.1007/s10994-021-05995-8OpenAlexW3176599804MaRDI QIDQ2071414

Sabina Tomkins, Predrag Klasnja, Peng Liao, Susan A. Murphy

Publication date: 28 January 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2008.01571

zbMATH Keywords

non-stationary environmentclinical trialmixed effectsThompson samplingphysical activityBayesian reward modelmobile health

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• Scikit
• GPyTorch

Cites Work

• Random-Effects Models for Longitudinal Data
• Linear Thompson sampling revisited
• Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study
• A Tutorial on Thompson Sampling
• Parametric Empirical Bayes Inference: Theory and Applications
• Learning to Optimize via Posterior Sampling
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: IntelligentPooling: practical Thompson sampling for mHealth