Eric B. Laber

3 papers · 2016–2021 · 1 venue · across top CS/AI venues

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Achievements

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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

JMLR (3)

Top co-authors

Ying-Qi Zhao (1) Bruce E. Sands (1) Michael R. Kosorok (1) Daniel J. Lizotte (1) Daniel J. Luckett (1) Yang Ning (1) Sumona Saha (1) Siyeon Kim (1)

Research topics

Artificial Intelligence (2) Machine Learning (2) Application Areas (2) Core AI (2) Learning Types (2) Healthcare & Medicine (1) Reinforcement Learning (1) Applications (1) Clinical (1) Core Methods (1)

Keywords

observational data (2) individualized treatment rule (2) sequential decision making (1) markov decision process (1) fitted q-iteration (1) weighted classification (1) multi-objective optimization (1) semiparametric efficiency (1) precision medicine (1) doubly robust estimation (1) composite outcome (1) causal inference (1) treatment optimization (1) policy optimization (1)

Papers

Estimation and Optimization of Composite Outcomes JMLR 2021 Efficient augmentation and relaxation learning for individualized treatment rules using observational data JMLR 2019 Multi-Objective Markov Decision Processes for Data-Driven Decision Support JMLR 2016