Causal Isotonic Calibration for Heterogeneous Treatment Effects. - Lars van der Laan; Ernesto Ulloa-Pérez; Marco Carone; Alex Luedtke (ICML, 2023)

Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data. - Shiladitya Dutta; Hongbo Wei; Lars van der Laan; Ahmed M. Alaa (CoRR, 2023)

Self-Calibrating Conformal Prediction. - Lars van der Laan; Ahmed M. Alaa (NeurIPS, 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-Consistent Conformal Prediction. - Lars van der Laan; Ahmed M. Alaa (CoRR, 2024)

Stabilized Inverse Probability Weighting via Isotonic Calibration. - Lars van der Laan; Ziming Lin; Marco Carone; Alex Luedtke (CLeaR, 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)

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, 2025)

Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction. - Lars van der Laan; Ahmed M. Alaa (CoRR, 2025)

Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects. - Zhongyuan Liang; Lars van der Laan; Ahmed Alaa (CoRR, 2025)