Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions

25 April 2016

Papers citing "Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions"

50 / 111 papers shown

Title
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies Zijian Guo 7 17 0 15 Nov 2020
Hi-CI: Deep Causal Inference in High Dimensions Ankit Sharma Garima Gupta Ranjitha Prasad Arnab Chatterjee L. Vig Gautam M. Shroff BDL CML 6 4 0 22 Aug 2020
Learning Decomposed Representation for Counterfactual Inference Anpeng Wu Kun Kuang Junkun Yuan Bo Li Jianrong Tao Qiang Zhu Yueting Zhuang Fei Wu CML 13 21 0 12 Jun 2020
Stable Prediction via Leveraging Seed Variable Kun Kuang B. Li Peng Cui Yue Liu Jianrong Tao Yueting Zhuang Fei Wu OOD CML 7 5 0 09 Jun 2020
Balance-Subsampled Stable Prediction Kun Kuang Hengtao Zhang Fei Wu Yueting Zhuang Aijun Zhang OOD 14 3 0 08 Jun 2020
A Balancing Weight Framework for Estimating the Causal Effect of General Treatments Guillaume Martinet CML 6 3 0 26 Feb 2020
Stable Prediction with Model Misspecification and Agnostic Distribution Shift Kun Kuang Ruoxuan Xiong Peng Cui Susan Athey Bo-wen Li OOD 14 128 0 31 Jan 2020
Causal query in observational data with hidden variables Debo Cheng Jiuyong Li Lin Liu Jixue Liu Kui Yu T. Le CML 10 11 0 28 Jan 2020
Minimax Semiparametric Learning With Approximate Sparsity Jelena Bradic Victor Chernozhukov Whitney Newey Yinchu Zhu 42 21 0 27 Dec 2019
Confounder Selection via Support Intersection Shinyuu Lee Yuru Zhu CML 17 0 0 25 Dec 2019
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework Abhishek Chakrabortty Jiarui Lu T. Tony Cai Hongzhe Li 9 6 0 26 Nov 2019
Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis Y. Deshpande Adel Javanmard M. Mehrabi AI4TS 28 31 0 04 Nov 2019
An introduction to flexible methods for policy evaluation M. Huber CML 19 7 0 01 Oct 2019
Sufficient Representations for Categorical Variables Jonathan Johannemann Vitor Hadad Susan Athey Stefan Wager 6 16 0 26 Aug 2019
Single Point Transductive Prediction Nilesh Tripuraneni Lester W. Mackey 8 6 0 06 Aug 2019
Policy Evaluation with Latent Confounders via Optimal Balance Andrew Bennett Nathan Kallus CML 14 18 0 06 Aug 2019
Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models Zijian Guo Wei Yuan Cun-Hui Zhang 11 2 0 30 Jul 2019
Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates Jue Hou Jelena Bradic R. Xu CML 11 11 0 29 Jun 2019
Large Sample Properties of Matching for Balance Yixin Wang J. Zubizarreta 12 5 0 26 May 2019
Structural Equation Models as Computation Graphs E. V. Kesteren Daniel L. Oberski 10 1 0 11 May 2019
Sparsity Double Robust Inference of Average Treatment Effects Jelena Bradic Stefan Wager Yinchu Zhu CML 9 39 0 02 May 2019
Optimal Statistical Inference for Individualized Treatment Effects in High-dimensional Models Tianxi Cai Tony Cai Zijian Guo CML LM&MA 9 13 0 29 Apr 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 9 76 0 07 Apr 2019
Synthetic learner: model-free inference on treatments over time Davide Viviano Jelena Bradic CML 14 19 0 02 Apr 2019
Machine Learning Methods Economists Should Know About Susan Athey Guido Imbens 24 669 0 24 Mar 2019
Omitted variable bias of Lasso-based inference methods: A finite sample analysis Kaspar Wüthrich Ying Zhu 7 26 0 20 Mar 2019
Machine learning in policy evaluation: new tools for causal inference N. Kreif K. DiazOrdaz ELM CML 14 45 0 01 Mar 2019
Non-Parametric Inference Adaptive to Intrinsic Dimension Khashayar Khosravi Greg Lewis Vasilis Syrgkanis 16 7 0 11 Jan 2019
Minimax Linear Estimation of the Retargeted Mean David A. Hirshberg A. Maleki J. Zubizarreta CML 8 38 0 11 Jan 2019
Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score Y. Ning Sida Peng Kosuke Imai 20 87 0 20 Dec 2018
Balanced Linear Contextual Bandits Maria Dimakopoulou Zhengyuan Zhou Susan Athey Guido Imbens 10 63 0 15 Dec 2018
Debiased Inference of Average Partial Effects in Single-Index Models David A. Hirshberg Stefan Wager CML 16 13 0 06 Nov 2018
Robust Inference Using Inverse Probability Weighting Xinwei Ma Jingshen Wang 10 94 0 26 Oct 2018
Offline Multi-Action Policy Learning: Generalization and Optimization Zhengyuan Zhou Susan Athey Stefan Wager OffRL 14 119 0 10 Oct 2018
Deep Neural Networks for Estimation and Inference M. Farrell Tengyuan Liang S. Misra BDL 11 254 0 26 Sep 2018
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 17 168 0 25 Sep 2018
Automatic Debiased Machine Learning of Causal and Structural Effects Victor Chernozhukov Whitney Newey Rahul Singh CML AI4CE 16 103 0 14 Sep 2018
Stable Prediction across Unknown Environments Kun Kuang Ruoxuan Xiong Peng Cui Susan Athey Bo Li OOD 8 165 0 16 Jun 2018
High-Dimensional Econometrics and Regularized GMM A. Belloni Victor Chernozhukov Denis Chetverikov Christian B. Hansen Kengo Kato 24 67 0 05 Jun 2018
De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers Victor Chernozhukov Whitney Newey Rahul Singh 13 90 0 23 Feb 2018
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training Nathan Kallus CML OOD 19 73 0 15 Feb 2018
Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data Z. Tan 19 87 0 30 Jan 2018
A Gaussian process framework for overlap and causal effect estimation with high-dimensional covariates D. Ghosh Efrén Cruz-Cortés 19 0 0 09 Jan 2018
Accurate Inference for Adaptive Linear Models Y. Deshpande Lester W. Mackey Vasilis Syrgkanis Matt Taddy OffRL 13 60 0 18 Dec 2017
RNN-based counterfactual prediction, with an application to homestead policy and public schooling Jason Poulos Shuxi Zeng 22 10 0 10 Dec 2017
Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap Qingyuan Zhao Dylan S. Small B. Bhattacharya 22 136 0 30 Nov 2017
Overlap in Observational Studies with High-Dimensional Covariates Alexander DÁmour Peng Ding Avi Feller Lihua Lei Jasjeet Sekhon 12 192 0 07 Nov 2017
Matrix Completion Methods for Causal Panel Data Models Susan Athey Mohsen Bayati Nikolay Doudchenko Guido Imbens Khashayar Khosravi 30 412 0 27 Oct 2017
Causally Regularized Learning with Agnostic Data Selection Bias Zheyan Shen Peng Cui Kun Kuang B. Li Peixuan Chen OOD 15 93 0 22 Aug 2017
Fixed effects testing in high-dimensional linear mixed models Jelena Bradic G. Claeskens Thomas Gueuning 20 17 0 14 Aug 2017