Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls"

27 May 2013

Papers citing "Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls""

50 / 58 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
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 35 72 0 21 May 2023
Inference on Optimal Dynamic Policies via Softmax Approximation Qizhao Chen Morgane Austern Vasilis Syrgkanis OffRL 29 1 0 08 Mar 2023
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities Connor Jerzak Fredrik D. Johansson Adel Daoud CML 38 11 0 30 Jan 2023
Convolutional neural networks for valid and efficient causal inference Mohammad Ghasempour Niloofar Moosavi X. de Luna CML 35 2 0 27 Jan 2023
Debiased machine learning for estimating the causal effect of urban traffic on pedestrian crossing behaviour K. Kamal Bilal Farooq 33 3 0 21 Dec 2022
Neighborhood Adaptive Estimators for Causal Inference under Network Interference A. Belloni Fei Fang A. Volfovsky CML 40 6 0 07 Dec 2022
Reconciling model-X and doubly robust approaches to conditional independence testing Ziang Niu Abhinav Chakraborty O. Dukes Eugene Katsevich 23 7 0 27 Nov 2022
Testing Heteroskedasticity in High-Dimensional Linear Regression Akira Shinkyu 16 1 0 31 Oct 2022
A Double Machine Learning Trend Model for Citizen Science Data Daniel Fink A. Johnston Matthew Strimas‐Mackey T. Auer W. Hochachka ... Lauren Oldham Jaromczyk O. Robinson Christopher Wood S. Kelling A. Rodewald 24 15 0 27 Oct 2022
Simultaneous Inference in Non-Sparse High-Dimensional Linear Models Yanmei Shi Zhiruo Li Q. Zhang 20 0 0 17 Oct 2022
Nonparametric augmented probability weighting with sparsity Xin He Xiaojun Mao Zhonglei Wang 23 0 0 28 Sep 2022
The boosted HP filter is more general than you might think Ziwei Mei P. Phillips Zhentao Shi 16 7 0 20 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 23 7 0 05 Sep 2022
Optimality of Matched-Pair Designs in Randomized Controlled Trials Yuehao Bai 24 52 0 15 Jun 2022
High-dimensional Data Bootstrap Victor Chernozhukov Denis Chetverikov Kengo Kato Yuta Koike 31 28 0 19 May 2022
Treatment Effect Estimation with Efficient Data Aggregation Snigdha Panigrahi Jingshen Wang Xuming He 29 4 0 23 Mar 2022
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic Z. Fei Y. Ryeznik O. Sverdlov C. Tan Weng Kee Wong 23 20 0 25 Nov 2021
Unpacking the Black Box: Regulating Algorithmic Decisions Laura Blattner Scott Nelson Jann Spiess MLAU FaML 28 19 0 05 Oct 2021
The Bias-Variance Tradeoff of Doubly Robust Estimator with Targeted $L_1$ regularized Neural Networks Predictions M. Rostami O. Saarela M. Escobar 40 1 0 02 Aug 2021
What can the millions of random treatments in nonexperimental data reveal about causes? Andre F. Ribeiro Frank Neffke Ricardo Hausmann CML 20 1 0 03 May 2021
Causal Inference with Invalid Instruments: Post-selection Problems and A Solution Using Searching and Sampling Zijian Guo CML 26 13 0 14 Apr 2021
Robust Orthogonal Machine Learning of Treatment Effects Yiyan Huang Cheuk Hang Leung Qi Wu Xing Yan OOD CML 8 0 0 22 Mar 2021
Machine Learning Advances for Time Series Forecasting Ricardo P. Masini M. C. Medeiros Eduardo F. Mendes AI4TS 13 274 0 23 Dec 2020
Evaluating (weighted) dynamic treatment effects by double machine learning Hugo Bodory M. Huber Lukávs Lafférs CML 22 43 0 01 Dec 2020
Lasso Inference for High-Dimensional Time Series R. Adámek Stephan Smeekes Ines Wilms AI4TS 28 33 0 21 Jul 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
Minimax Semiparametric Learning With Approximate Sparsity Jelena Bradic Victor Chernozhukov Whitney Newey Yinchu Zhu 47 21 0 27 Dec 2019
An introduction to flexible methods for policy evaluation M. Huber CML 19 7 0 01 Oct 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 21 76 0 07 Apr 2019
Machine learning in policy evaluation: new tools for causal inference N. Kreif K. DiazOrdaz ELM CML 19 45 0 01 Mar 2019
Automatic Debiased Machine Learning of Causal and Structural Effects Victor Chernozhukov Whitney Newey Rahul Singh CML AI4CE 24 103 0 14 Sep 2018
The conditional permutation test for independence while controlling for confounders Thomas B. Berrett Yi Wang Rina Foygel Barber R. Samworth 35 16 0 14 Jul 2018
High-Dimensional Econometrics and Regularized GMM A. Belloni Victor Chernozhukov Denis Chetverikov Christian B. Hansen Kengo Kato 26 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
Estimation and Inference on Heterogeneous Treatment Effects in High-Dimensional Dynamic Panels under Weak Dependence V. Semenova Matt Goldman Victor Chernozhukov Matt Taddy CML 23 12 0 28 Dec 2017
Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap Qingyuan Zhao Dylan S. Small B. Bhattacharya 27 136 0 30 Nov 2017
Estimation and Inference on Nonlinear and Heterogeneous Effects Marc Ratkovic D. Tingley 12 11 0 16 Mar 2017
Confidence Bands for Coefficients in High Dimensional Linear Models with Error-in-variables A. Belloni Victor Chernozhukov A. Kaul 31 18 0 01 Mar 2017
Counterfactual Prediction with Deep Instrumental Variables Networks Jason S. Hartford Greg Lewis Kevin Leyton-Brown Matt Taddy CML OOD 8 49 0 30 Dec 2016
Uniformly valid confidence intervals post-model-selection F. Bachoc David Preinerstorfer Lukas Steinberger 32 48 0 03 Nov 2016
Robust Confidence Intervals in High-Dimensional Left-Censored Regression Jelena Bradic Jiaqi Guo 13 1 0 22 Sep 2016
Locally Robust Semiparametric Estimation Victor Chernozhukov J. Escanciano Hidehiko Ichimura Whitney Newey J. M. Robins 21 203 0 29 Jul 2016
High-dimensional regression adjustments in randomized experiments Stefan Wager Wenfei Du Jonathan E. Taylor Robert Tibshirani 37 116 0 22 Jul 2016
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk A. Belloni Mingli Chen Victor Chernozhukov 17 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
Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index Susan Athey Raj Chetty Guido Imbens Hyunseung Kang CML 14 50 0 30 Mar 2016
Confidence Intervals for Causal Effects with Invalid Instruments using Two-Stage Hard Thresholding with Voting Zijian Guo Hyunseung Kang T. Tony Cai Dylan S. Small 28 119 0 16 Mar 2016
Semiparametric theory and empirical processes in causal inference Edward H. Kennedy CML 16 178 0 15 Oct 2015
Honest confidence regions and optimality in high-dimensional precision matrix estimation Jana Janková Sara van de Geer 54 74 0 08 Jul 2015