Towards optimal doubly robust estimation of heterogeneous causal effects

29 April 2020

Papers citing "Towards optimal doubly robust estimation of heterogeneous causal effects"

8 / 158 papers shown

Title
Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves Rahul Singh Liyuan Xu Arthur Gretton OffRL 68 28 0 10 Oct 2020
Estimating Structural Target Functions using Machine Learning and Influence Functions Alicia Curth Ahmed Alaa M. Schaar CML TDI 19 3 0 14 Aug 2020
Conformal Inference of Counterfactuals and Individual Treatment Effects Lihua Lei Emmanuel J. Candès CML 21 190 0 11 Jun 2020
Estimating heterogeneous treatment effects with right-censored data via causal survival forests Yifan Cui Michael R. Kosorok Erik Sverdrup Stefan Wager Ruoqing Zhu CML 30 68 0 27 Jan 2020
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects Fredrik D. Johansson Uri Shalit Nathan Kallus David Sontag CML OOD 34 98 0 21 Jan 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond Nathan Kallus Xiaojie Mao Masatoshi Uehara 25 25 0 30 Dec 2019
Automatic Debiased Machine Learning of Causal and Structural Effects Victor Chernozhukov Whitney Newey Rahul Singh CML AI4CE 24 103 0 14 Sep 2018
Local Linear Forests R. Friedberg J. Tibshirani Susan Athey Stefan Wager 24 90 0 30 Jul 2018