Scholar
Lars van der Laan
Google Scholar ID: 0bwP0i4AAAAJ
Ph.D. Student in Statistics, University of Washington, Seattle
Statistics
Machine Learning
Causal Inference
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Citations & Impact
All-time
Citations
1,967
H-index
16
i10-index
23
Publications
20
Co-authors
7
list available
Publications
14 items
Bellman Calibration for Marginalized Importance Weighting in Offline Reinforcement Learning
2026
Cited
0
Fitted Occupancy-Ratio Evaluation without Bellman Completeness
2026
Cited
0
Reward Transfer from Inverse Reinforcement Learning: A Coupled Minimax Approach
2026
Cited
0
Targeted maximum likelihood estimation of vaccine effectiveness and immune correlates in test-negative design studies with missing data
2026
Cited
0
Calibeating Prediction-Powered Inference
2026
Cited
0
A Researcher's Guide to Empirical Risk Minimization
2026
Cited
0
Bellman Calibration for V-Learning in Offline Reinforcement Learning
2025
Cited
0
Inverse Reinforcement Learning Using Just Classification and a Few Regressions
2025
Cited
0
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Co-authors
7 total
Alex Luedtke
Member of the Faculty, Harvard University
Marco Carone
University of Washington
Peter B. Gilbert
Member, Fred Hutchinson Cancer Center, and Department of Biostatistics, University of Washington
Mark van der Laan
Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics & Statistics, University of California Berkeley
Ahmed M. Alaa
Assistant Professor, UC Berkeley and UCSF
Nathan Kallus
Cornell University
Aurelien Bibaut
Netflix
