Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation

22 February 2024

Papers citing "Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation"

32 / 32 papers shown

Title
Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study Philipp Bach Oliver Schacht Victor Chernozhukov Jan Rabenseifner Martin Spindler 18 8 0 07 Feb 2024
The Fundamental Limits of Structure-Agnostic Functional Estimation Sivaraman Balakrishnan Edward H. Kennedy Larry A. Wasserman 41 11 0 06 May 2023
Debiased Machine Learning without Sample-Splitting for Stable Estimators Qizhao Chen Vasilis Syrgkanis Morgane Austern CML 29 18 0 03 Jun 2022
Minimax rates for heterogeneous causal effect estimation Edward H. Kennedy Sivaraman Balakrishnan James M. Robins Larry A. Wasserman CML 48 31 0 02 Mar 2022
A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees Victor Chernozhukov Whitney Newey Rahul Singh FedML 48 24 0 31 May 2021
AutoML to Date and Beyond: Challenges and Opportunities Shubhra (Santu) Karmaker Md. Mahadi Hassan Micah J. Smith Lei Xu Chengxiang Zhai K. Veeramachaneni 92 227 0 21 Oct 2020
Estimation and Inference with Trees and Forests in High Dimensions Vasilis Syrgkanis Manolis Zampetakis 35 32 0 07 Jul 2020
Minimax Semiparametric Learning With Approximate Sparsity Jelena Bradic Victor Chernozhukov Whitney Newey Yinchu Zhu 76 21 0 27 Dec 2019
FLAML: A Fast and Lightweight AutoML Library Chi Wang Qingyun Wu Markus Weimer Erkang Zhu 48 201 0 12 Nov 2019
Characterization of parameters with a mixed bias property A. Rotnitzky Ezequiel Smucler J. M. Robins 36 66 0 07 Apr 2019
Orthogonal Statistical Learning Dylan J. Foster Vasilis Syrgkanis 98 170 0 25 Jan 2019
Automatic Debiased Machine Learning of Causal and Structural Effects Victor Chernozhukov Whitney Newey Rahul Singh CML AI4CE 52 105 0 14 Sep 2018
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 142 805 0 22 Aug 2017
Hypothesis Testing For Densities and High-Dimensional Multinomials: Sharp Local Minimax Rates Sivaraman Balakrishnan Larry A. Wasserman 40 50 0 30 Jun 2017
Semiparametric Efficient Empirical Higher Order Influence Function Estimators Lin Liu Rajarshi Mukherjee Whitney Newey J. M. Robins 49 38 0 22 May 2017
Double/Debiased/Neyman Machine Learning of Treatment Effects Victor Chernozhukov Denis Chetverikov Mert Demirer E. Duflo Christian B. Hansen Whitney Newey CML FedML 100 348 0 30 Jan 2017
Generalized Random Forests Susan Athey J. Tibshirani Stefan Wager 132 1,348 0 05 Oct 2016
Locally Robust Semiparametric Estimation Victor Chernozhukov J. Escanciano Hidehiko Ichimura Whitney Newey J. M. Robins 72 206 0 29 Jul 2016
Remember the Curse of Dimensionality: The Case of Goodness-of-Fit Testing in Arbitrary Dimension E. Arias-Castro Bruno Pelletier Venkatesh Saligrama 43 35 0 27 Jul 2016
On cross-validated Lasso in high dimensions Denis Chetverikov Z. Liao Victor Chernozhukov 63 80 0 07 May 2016
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests Stefan Wager Susan Athey SyDa CML 150 2,474 0 14 Oct 2015
Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations M. Farrell 111 343 0 18 Sep 2013
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls" A. Belloni Victor Chernozhukov Christian B. Hansen 187 1,401 0 27 May 2013
Uniform Post Selection Inference for LAD Regression and Other Z-estimation problems A. Belloni Victor Chernozhukov Kengo Kato 77 148 0 01 Apr 2013
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 152 1,130 0 03 Mar 2013
Pivotal estimation via square-root Lasso in nonparametric regression A. Belloni Victor Chernozhukov Lie Wang 125 152 0 07 May 2011
Least squares after model selection in high-dimensional sparse models A. Belloni Victor Chernozhukov 199 222 0 31 Dec 2009
Feature-Weighted Linear Stacking Joseph Sill G. Takács Lester W. Mackey David Lin 83 248 0 03 Nov 2009
A survey of cross-validation procedures for model selection Sylvain Arlot Alain Celisse 148 3,583 0 27 Jul 2009
L1-Penalized Quantile Regression in High-Dimensional Sparse Models A. Belloni Victor Chernozhukov 143 455 0 19 Apr 2009
Higher order influence functions and minimax estimation of nonlinear functionals J. M. Robins Lingling Li E. T. Tchetgen A. van der Vaart 114 241 0 20 May 2008
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 327 2,527 0 07 Jan 2008