Lars van der Laan

According to our database, Lars van der Laan authored at least 18 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Reward Transfer from Inverse Reinforcement Learning: A Coupled Minimax Approach.

Guang-Yuan Hao, Lars van der Laan, Aurélien Bibaut, Nathan Kallus

CoRR, May, 2026

Calibeating Prediction-Powered Inference.

Lars van der Laan, Mark J. van der Laan

CoRR, April, 2026

A Researcher's Guide to Empirical Risk Minimization.

Lars van der Laan

CoRR, February, 2026

2025

Efficient Inference for Inverse Reinforcement Learning and Dynamic Discrete Choice Models.

Lars van der Laan, Aurélien Bibaut, Nathan Kallus

CoRR, December, 2025

Stationary Reweighting Yields Local Convergence of Soft Fitted Q-Iteration.

Lars van der Laan, Nathan Kallus

CoRR, December, 2025

Fitted Q Evaluation Without Bellman Completeness via Stationary Weighting.

Lars van der Laan, Nathan Kallus

CoRR, December, 2025

Bellman Calibration for V-Learning in Offline Reinforcement Learning.

Lars van der Laan, Nathan Kallus

CoRR, December, 2025

Inverse Reinforcement Learning Using Just Classification and a Few Regressions.

Lars van der Laan, Nathan Kallus, Aurélien Bibaut

CoRR, September, 2025

Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects.

Zhongyuan Liang, Lars van der Laan, Ahmed M. Alaa

CoRR, June, 2025

Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference.

Lars van der Laan, David Hubbard, Allen Tran, Nathan Kallus, Aurélien Bibaut

CoRR, January, 2025

A SuperLearner-based pipeline for the development of DNA methylation-derived predictors of phenotypic traits.

Dennis Khodasevich, Nina Holland, Lars van der Laan, Andrés Cárdenas

PLoS Comput. Biol., 2025

Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction.

Lars van der Laan, Ahmed M. Alaa

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Stabilized Inverse Probability Weighting via Isotonic Calibration.

Lars van der Laan, Ziming Lin, Marco Carone, Alex Luedtke

Proceedings of the Causal Learning and Reasoning, Lausanne, Switzerland, 7-9 May 2025., 2025

2024

Self-Consistent Conformal Prediction.

Lars van der Laan, Ahmed M. Alaa

CoRR, 2024

Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts.

Lars van der Laan, Marco Carone, Alex Luedtke

CoRR, 2024

Self-Calibrating Conformal Prediction.

Lars van der Laan, Ahmed M. Alaa

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data.

Shiladitya Dutta, Hongbo Wei, Lars van der Laan, Ahmed M. Alaa

CoRR, 2023

Causal Isotonic Calibration for Heterogeneous Treatment Effects.

Lars van der Laan, Ernesto Ulloa-Pérez, Marco Carone, Alex Luedtke

Proceedings of the International Conference on Machine Learning, 2023