Generalized Optimal Matching Methods for Causal Inference

26 December 2016

Papers citing "Generalized Optimal Matching Methods for Causal Inference"

23 / 23 papers shown

Title
Forests for Differences: Robust Causal Inference Beyond Parametric DiD Hugo Gobato Souto Francisco Louzada Neto 16 0 0 14 May 2025
A primer on optimal transport for causal inference with observational data Florian F Gunsilius OT CML 84 0 0 10 Mar 2025
Multivariate root-n-consistent smoothing parameter free matching estimators and estimators of inverse density weighted expectations H. Holzmann A. Meister 56 1 0 17 Feb 2025
Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes Kwangho Kim B. Niknam J. Zubizarreta 29 2 0 01 Nov 2023
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference Yonghe Zhao Q. Huang Siwei Wu Yun Peng H. Sun BDL CML 21 0 0 02 Aug 2023
Matched Machine Learning: A Generalized Framework for Treatment Effect Inference With Learned Metrics Marco Morucci Cynthia Rudin A. Volfovsky CML FedML 18 1 0 03 Apr 2023
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift Kaizheng Wang 32 10 0 20 Feb 2023
Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency Wenlong Mou Peng Ding Martin J. Wainwright Peter L. Bartlett OffRL 37 10 0 16 Jan 2023
An empirical process framework for covariate balance in causal inference Efrén Cruz-Cortés K. Josey Fan Yang Debashis Ghosh 16 0 0 02 Jan 2023
Inference on Strongly Identified Functionals of Weakly Identified Functions Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 38 15 0 17 Aug 2022
Estimating causal effects with optimization-based methods: A review and empirical comparison Martin Cousineau V. Verter S. Murphy J. Pineau CML 24 9 0 28 Feb 2022
Optimal transport weights for causal inference Eric A. Dunipace CML OT 28 9 0 05 Sep 2021
Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population Rui Chen J. Huling Guanhua Chen Menggang Yu CML 8 1 0 03 May 2021
NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments S. Parbhoo Stefan Bauer Patrick Schwab CML BDL 19 16 0 20 Mar 2021
Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves Rahul Singh Liyuan Xu Arthur Gretton OffRL 68 27 0 10 Oct 2020
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders Andrew Bennett Nathan Kallus Lihong Li Ali Mousavi OffRL 35 43 0 27 Jul 2020
Minimax Weight and Q-Function Learning for Off-Policy Evaluation Masatoshi Uehara Jiawei Huang Nan Jiang OffRL 31 184 0 28 Oct 2019
General Control Functions for Causal Effect Estimation from Instrumental Variables A. Puli Rajesh Ranganath CML 26 4 0 08 Jul 2019
Adversarial Balancing for Causal Inference Michal Ozery-Flato Pierre Thodoroff Matan Ninio Michal Rosen-Zvi T. El-Hay CML GAN 16 25 0 17 Oct 2018
Learning Weighted Representations for Generalization Across Designs Fredrik D. Johansson Nathan Kallus Uri Shalit David Sontag OOD 23 87 0 23 Feb 2018
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training Nathan Kallus CML OOD 27 74 0 15 Feb 2018
Balanced Policy Evaluation and Learning Nathan Kallus CML OffRL 14 141 0 21 May 2017
Minimal Dispersion Approximately Balancing Weights: Asymptotic Properties and Practical Considerations Yixin Wang J. Zubizarreta 30 108 0 02 May 2017