Discussion of Kallus (2020) and Mo, Qi, and Liu (2020): New Objectives for Policy Learning. - Sijia Li; Xiudi Li; Alex Luedtke (CoRR, 2020)

Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures. - Alex Luedtke; Incheoul Chung; Oleg Sofrygin (J. Mach. Learn. Res., 2021)

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

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)

Stabilized Inverse Probability Weighting via Isotonic Calibration. - Lars van der Laan; Ziming Lin; Marco Carone; Alex Luedtke (CLeaR, 2025)

Coreset selection for the Sinkhorn divergence and generic smooth divergences. - Alex Kokot; Alex Luedtke (CoRR, 2025)