Robust and Agnostic Learning of Conditional Distributional Treatment
Effects

Robust and Agnostic Learning of Conditional Distributional Treatment Effects

23 May 2022

Papers citing "Robust and Agnostic Learning of Conditional Distributional Treatment Effects"

11 / 11 papers shown

Title
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 42 2 0 05 Nov 2024
Conditional Outcome Equivalence: A Quantile Alternative to CATE Josh Givens Henry W. J. Reeve Song Liu Katarzyna Reluga CML 28 0 0 16 Oct 2024
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction Undral Byambadalai Tatsushi Oka Shota Yasui CML 21 0 0 22 Jul 2024
Positivity-free Policy Learning with Observational Data Pan Zhao Antoine Chambaz Julie Josse Shu Yang 21 6 0 10 Oct 2023
Asymptotically Unbiased Synthetic Control Methods by Density Matching Masahiro Kato Akari Ohda 37 1 0 20 Jul 2023
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding Myrl G. Marmarelis Greg Ver Steeg Aram Galstyan Fred Morstatter CML OOD 11 5 0 15 Jun 2023
Reliable Off-Policy Learning for Dosage Combinations J. Schweisthal Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel OffRL 9 10 0 31 May 2023
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding M. Oprescu Jacob Dorn Marah Ghoummaid Andrew Jesson Nathan Kallus Uri Shalit CML FedML 9 24 0 20 Apr 2023
Robust Direct Learning for Causal Data Fusion Xinyu Li Yilin Li Qing Cui Longfei Li Jun Zhou CML 20 1 0 01 Nov 2022
Estimating Potential Outcome Distributions with Collaborating Causal Networks Tianhui Zhou William E Carson IV David Carlson CML 20 6 0 04 Oct 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 205 713 0 12 May 2016