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Automatic Debiased Machine Learning of Causal and Structural Effects

14 September 2018

Papers citing "Automatic Debiased Machine Learning of Causal and Structural Effects"

46 / 46 papers shown

Title
Double Machine Learning for Static Panel Models with Fixed Effects Paul Clarke Annalivia Polselli 152 3 0 03 Jan 2025
Stabilized Inverse Probability Weighting via Isotonic Calibration L. Laan Ziming Lin M. Carone Alex Luedtke 75 2 0 10 Nov 2024
Debiasing Synthetic Data Generated by Deep Generative Models A. Decruyenaere Heidelinde Dehaene Paloma Rabaey Christiaan Polet Johan Decruyenaere Thomas Demeester S. Vansteelandt AI4CE 77 0 0 06 Nov 2024
Orthogonal Causal Calibration Justin Whitehouse Christopher Jung Vasilis Syrgkanis Bryan Wilder Zhiwei Steven Wu CML 154 1 0 04 Jun 2024
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation Jikai Jin Vasilis Syrgkanis CML 187 1 0 22 Feb 2024
Estimation and Inference with Trees and Forests in High Dimensions Vasilis Syrgkanis Manolis Zampetakis 39 32 0 07 Jul 2020
Towards optimal doubly robust estimation of heterogeneous causal effects Edward H. Kennedy CML 168 327 0 29 Apr 2020
Minimax Semiparametric Learning With Approximate Sparsity Jelena Bradic Victor Chernozhukov Whitney Newey Yinchu Zhu 91 23 0 27 Dec 2019
Sparsity Double Robust Inference of Average Treatment Effects Jelena Bradic Stefan Wager Yinchu Zhu CML 55 40 0 02 May 2019
$A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts$ A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts Ezequiel Smucler A. Rotnitzky J. M. Robins CML 69 80 0 07 Apr 2019
Debiased Inference of Average Partial Effects in Single-Index Models David A. Hirshberg Stefan Wager CML 37 13 0 06 Nov 2018
Deep Neural Networks for Estimation and Inference M. Farrell Tengyuan Liang S. Misra BDL 176 255 0 26 Sep 2018
De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers Victor Chernozhukov Whitney Newey Rahul Singh 64 92 0 23 Feb 2018
Cross-Fitting and Fast Remainder Rates for Semiparametric Estimation Whitney Newey Jamie Robins 71 147 0 27 Jan 2018
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 238 816 0 22 Aug 2017
Breaking the curse of dimensionality in regression Yinchu Zhu Jelena Bradic 82 19 0 01 Aug 2017
Uniform Inference for High-dimensional Quantile Regression: Linear Functionals and Regression Rank Scores Jelena Bradic Mladen Kolar 55 25 0 20 Feb 2017
Double/Debiased/Neyman Machine Learning of Treatment Effects Victor Chernozhukov Denis Chetverikov Mert Demirer E. Duflo Christian B. Hansen Whitney Newey CML FedML 149 351 0 30 Jan 2017
Linear Hypothesis Testing in Dense High-Dimensional Linear Models Yinchu Zhu Jelena Bradic 151 85 0 10 Oct 2016
Confidence regions for high-dimensional generalized linear models under sparsity Jana Janková Sara van de Geer 46 24 0 05 Oct 2016
Locally Robust Semiparametric Estimation Victor Chernozhukov J. Escanciano Hidehiko Ichimura Whitney Newey J. M. Robins 100 210 0 29 Jul 2016
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions Susan Athey Guido Imbens Stefan Wager CML 475 388 0 25 Apr 2016
High-Dimensional $L_2$ Boosting: Rate of Convergence Ye Luo Martin Spindler Jannis Kuck 64 32 0 29 Feb 2016
A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations Matey Neykov Y. Ning Jun S. Liu Han Liu 69 77 0 30 Oct 2015
De-biasing the Lasso: Optimal Sample Size for Gaussian Designs Adel Javanmard Andrea Montanari 120 196 0 11 Aug 2015
Inference in Linear Regression Models with Many Covariates and Heteroskedasticity M. D. Cattaneo Michael Jansson Whitney Newey 55 121 0 09 Jul 2015
Confidence Intervals for High-Dimensional Linear Regression: Minimax Rates and Adaptivity T. Tony Cai Zijian Guo 197 185 0 18 Jun 2015
Prediction error of cross-validated Lasso S. Chatterjee Jafar Jafarov 143 42 0 23 Feb 2015
Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach Victor Chernozhukov Christian B. Hansen Martin Spindler 220 175 0 14 Jan 2015
A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional Models Y. Ning Han Liu 175 305 0 30 Dec 2014
Central Limit Theorems and Bootstrap in High Dimensions Victor Chernozhukov Denis Chetverikov Kengo Kato 79 313 0 11 Dec 2014
Confidence intervals for high-dimensional inverse covariance estimation Jana Janková Sara van de Geer 123 187 0 26 Mar 2014
Asymptotic normality and optimalities in estimation of large Gaussian graphical models Zhao Ren Tingni Sun Cun-Hui Zhang Harrison H. Zhou 167 246 0 24 Sep 2013
Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations M. Farrell 333 343 0 18 Sep 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 255 768 0 13 Jun 2013
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls" A. Belloni Victor Chernozhukov Christian B. Hansen 273 1,407 0 27 May 2013
Uniform Post Selection Inference for LAD Regression and Other Z-estimation problems A. Belloni Victor Chernozhukov Kengo Kato 107 148 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 222 1,131 0 03 Mar 2013
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 194 161 0 17 Jan 2013
Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors Victor Chernozhukov Denis Chetverikov Kengo Kato 166 507 0 31 Dec 2012
Semiparametric theory for causal mediation analysis: Efficiency bounds, multiple robustness and sensitivity analysis E. T. Tchetgen I. Shpitser 90 297 0 17 Oct 2012
Pivotal estimation via square-root Lasso in nonparametric regression A. Belloni Victor Chernozhukov Lie Wang 205 152 0 07 May 2011
Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain A. Belloni Daniel L. Chen Victor Chernozhukov Christian B. Hansen 197 561 0 21 Oct 2010
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 544 2,531 0 07 Jan 2008
Pathwise coordinate optimization J. Friedman Trevor Hastie Holger Hofling Robert Tibshirani 273 2,056 0 10 Aug 2007
Sparse Estimators and the Oracle Property, or the Return of Hodges' Estimator Hannes Leeb Benedikt M. Poetscher 410 235 0 11 Apr 2007