Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations

18 September 2013

Papers citing "Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations"

37 / 37 papers shown

Title
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation Jikai Jin Vasilis Syrgkanis CML 67 1 0 22 Feb 2024
Addressing Dynamic and Sparse Qualitative Data: A Hilbert Space Embedding of Categorical Variables Anirban Mukherjee Hannah H. Chang CML 26 0 0 22 Aug 2023
Convolutional neural networks for valid and efficient causal inference Mohammad Ghasempour Niloofar Moosavi X. de Luna CML 40 2 0 27 Jan 2023
Nonparametric Estimation of Conditional Incremental Effects Alec McClean Zach Branson Edward H. Kennedy CML 36 8 0 07 Dec 2022
Falsification before Extrapolation in Causal Effect Estimation Zeshan Hussain Michael Oberst M. Shih David Sontag CML 45 8 0 27 Sep 2022
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information Yiyan Huang Cheuk Hang Leung Shumin Ma Qi Wu DongDong Wang Zhixiang Huang OOD CML 42 3 0 05 Sep 2022
Robust Causal Learning for the Estimation of Average Treatment Effects Yiyan Huang Cheuk Hang Leung Xing Yan Qi Wu Shumin Ma Zhiri Yuan DongDong Wang Zhixiang Huang OOD CML 33 7 0 05 Sep 2022
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
$β$ -Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap Pengzhou (Abel) Wu Kenji Fukumizu CML 35 14 0 11 Oct 2021
The Causal Learning of Retail Delinquency Yiyan Huang Cheuk Hang Leung Xing Yan Qi Wu Nanbo Peng DongDong Wang Zhixiang Huang CML 22 8 0 17 Dec 2020
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies Zijian Guo 28 17 0 15 Nov 2020
Towards optimal doubly robust estimation of heterogeneous causal effects Edward H. Kennedy CML 33 310 0 29 Apr 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond Nathan Kallus Xiaojie Mao Masatoshi Uehara 27 25 0 30 Dec 2019
Minimax Semiparametric Learning With Approximate Sparsity Jelena Bradic Victor Chernozhukov Whitney Newey Yinchu Zhu 52 21 0 27 Dec 2019
An introduction to flexible methods for policy evaluation M. Huber CML 32 7 0 01 Oct 2019
Policy Targeting under Network Interference Davide Viviano 38 33 0 24 Jun 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 34 77 0 07 Apr 2019
Characterization of parameters with a mixed bias property A. Rotnitzky Ezequiel Smucler J. M. Robins 22 66 0 07 Apr 2019
Machine learning in policy evaluation: new tools for causal inference N. Kreif K. DiazOrdaz ELM CML 33 45 0 01 Mar 2019
Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score Y. Ning Sida Peng Kosuke Imai 33 87 0 20 Dec 2018
Debiased Inference of Average Partial Effects in Single-Index Models David A. Hirshberg Stefan Wager CML 26 13 0 06 Nov 2018
Deep Neural Networks for Estimation and Inference M. Farrell Tengyuan Liang S. Misra BDL 29 254 0 26 Sep 2018
Automatic Debiased Machine Learning of Causal and Structural Effects Victor Chernozhukov Whitney Newey Rahul Singh CML AI4CE 24 103 0 14 Sep 2018
Two-Step Estimation and Inference with Possibly Many Included Covariates M. D. Cattaneo Michael Jansson Xinwei Ma CML 16 68 0 26 Jul 2018
High-Dimensional Econometrics and Regularized GMM A. Belloni Victor Chernozhukov Denis Chetverikov Christian B. Hansen Kengo Kato 33 67 0 05 Jun 2018
Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data Z. Tan 27 87 0 30 Jan 2018
Policy Learning with Observational Data Susan Athey Stefan Wager CML OffRL 32 183 0 09 Feb 2017
Locally Robust Semiparametric Estimation Victor Chernozhukov J. Escanciano Hidehiko Ichimura Whitney Newey J. M. Robins 31 206 0 29 Jul 2016
High-dimensional regression adjustments in randomized experiments Stefan Wager Wenfei Du Jonathan E. Taylor Robert Tibshirani 40 117 0 22 Jul 2016
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk A. Belloni Mingli Chen Victor Chernozhukov 24 7 0 01 Jul 2016
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions Susan Athey Guido Imbens Stefan Wager CML 35 387 0 25 Apr 2016
Inference in Linear Regression Models with Many Covariates and Heteroskedasticity M. D. Cattaneo Michael Jansson Whitney Newey 19 120 0 09 Jul 2015
Union Support Recovery in Multi-task Learning Mladen Kolar John D. Lafferty Larry A. Wasserman 93 60 0 31 Aug 2010
Oracle Inequalities and Optimal Inference under Group Sparsity Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 135 380 0 11 Jul 2010
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 185 292 0 09 Mar 2009
High-dimensional generalized linear models and the lasso Sara van de Geer 198 749 0 04 Apr 2008
Confidence Sets Based on Sparse Estimators Are Necessarily Large B. M. Potscher 106 41 0 07 Nov 2007