Alex Luedtke

According to our database, Alex Luedtke authored at least 14 papers between 2016 and 2026.

Collaborative distances:

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

2026

Sinkhorn Treatment Effects: A Causal Optimal Transport Measure.

Medha Agarwal, Alex Luedtke

CoRR, May, 2026

Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing.

Saksham Jain, Alex Luedtke

CoRR, March, 2026

2025

Transforming Conditional Density Estimation Into a Single Nonparametric Regression Task.

Alexander G. Reisach, Olivier Collier, Alexander Luedtke, Antoine Chambaz

CoRR, November, 2025

DoubleGen: Debiased Generative Modeling of Counterfactuals.

Alex Luedtke, Kenji Fukumizu

CoRR, September, 2025

Coreset selection for the Sinkhorn divergence and generic smooth divergences.

Alex Kokot, Alex Luedtke

CoRR, April, 2025

Stochastic Gradients under Nuisances.

Facheng Yu, Ronak Mehta, Alex Luedtke, Zaïd Harchaoui

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

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

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

2021

Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures.

Alex Luedtke, Incheoul Chung, Oleg Sofrygin

J. Mach. Learn. Res., 2021

2020

Discussion of Kallus (2020) and Mo, Qi, and Liu (2020): New Objectives for Policy Learning.

Sijia Li, Xiudi Li, Alex Luedtke

CoRR, 2020

2019

Asymptotically optimal algorithms for budgeted multiple play bandits.

Alexander Luedtke, Emilie Kaufmann, Antoine Chambaz

Mach. Learn., 2019

2017

A Powerful Method for Including Genotype Uncertainty in Tests of Hardy-Weinberg Equilibrium.

Andrew Beck, Alexander Luedtke, Keli Liu, Nathan L. Tintle

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2016

Asymptotically Optimal Algorithms for Multiple Play Bandits with Partial Feedback.

Alexander Luedtke, Emilie Kaufmann, Antoine Chambaz

CoRR, 2016