Semiparametric theory and empirical processes in causal inference

15 October 2015

Papers citing "Semiparametric theory and empirical processes in causal inference"

16 / 16 papers shown

Title
Double Machine Learning for Causal Inference under Shared-State Interference Chris Hays Manish Raghavan CML 51 0 0 10 Apr 2025
Semiparametric Counterfactual Regression Kwangho Kim OffRL 39 0 0 03 Apr 2025
Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances Masahiro Kato 32 3 0 20 Dec 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning K. Kim J. Zubizarreta 26 6 0 06 Jun 2023
Convolutional neural networks for valid and efficient causal inference Mohammad Ghasempour Niloofar Moosavi X. de Luna CML 35 2 0 27 Jan 2023
Doubly Robust Counterfactual Classification K. Kim Edward H. Kennedy J. Zubizarreta OffRL 33 5 0 15 Jan 2023
Generalization bounds and algorithms for estimating conditional average treatment effect of dosage Alexis Bellot Anish Dhir G. Prando CML 18 11 0 29 May 2022
Estimating average causal effects from patient trajectories Dennis Frauen Tobias Hatt Valentyn Melnychuk Stefan Feuerriegel OOD CML 19 25 0 02 Mar 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects Tobias Hatt Jeroen Berrevoets Alicia Curth Stefan Feuerriegel M. Schaar CML 52 29 0 25 Feb 2022
Nonlinear Regression with Residuals: Causal Estimation with Time-varying Treatments and Covariates Stephen Bates Edward H. Kennedy Robert Tibshirani V. Ventura Larry A. Wasserman CML OOD 13 1 0 31 Jan 2022
Targeted Optimal Treatment Regime Learning Using Summary Statistics Jianing Chu Wenbin Lu Shu Yang CML 24 20 0 17 Jan 2022
Machine Learning for Variance Reduction in Online Experiments Yongyi Guo Dominic Coey Mikael Konutgan Wenting Li Ch. P. Schoener Matt Goldman 16 34 0 14 Jun 2021
Median Optimal Treatment Regimes Liu Leqi Edward H. Kennedy 32 8 0 02 Mar 2021
Adapting Text Embeddings for Causal Inference Victor Veitch Dhanya Sridhar David M. Blei CML 11 21 0 29 May 2019
Machine learning in policy evaluation: new tools for causal inference N. Kreif K. DiazOrdaz ELM CML 25 45 0 01 Mar 2019
Visually Communicating and Teaching Intuition for Influence Functions Aaron Fisher Edward H. Kennedy 13 51 0 08 Oct 2018