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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"

50 / 95 papers shown

Title
Causal inference targeting a concentration index for studies of health inequalities Mohammad Ghasempour X. de Luna Per E. Gustafsson 31 0 0 11 Oct 2024
Causal inference through multi-stage learning and doubly robust deep neural networks Yuqian Zhang Jelena Bradic OOD CML 62 1 0 11 Jul 2024
Causal-StoNet: Causal Inference for High-Dimensional Complex Data Yaxin Fang Faming Liang CML 61 2 0 27 Mar 2024
Calibrating doubly-robust estimators with unbalanced treatment assignment Daniele Ballinari 31 1 0 03 Mar 2024
Unveiling the Potential of Robustness in Evaluating Causal Inference Models Yiyan Huang Cheuk Hang Leung Siyi Wang Yijun Li Qi Wu OOD CML 76 0 0 28 Feb 2024
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation Jikai Jin Vasilis Syrgkanis CML 213 1 0 22 Feb 2024
Valid causal inference with unobserved confounding in high-dimensional settings Niloofar Moosavi T. Gorbach X. de Luna 34 1 0 12 Jan 2024
Identification and Inference for Synthetic Controls with Confounding Guido Imbens Davide Viviano CML 69 2 0 01 Dec 2023
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments Zach Branson Edward H. Kennedy Sivaraman Balakrishnan Larry Wasserman CML 74 4 0 01 Sep 2023
Addressing Dynamic and Sparse Qualitative Data: A Hilbert Space Embedding of Categorical Variables Anirban Mukherjee Hannah H. Chang CML 48 0 0 22 Aug 2023
A Double Machine Learning Approach to Combining Experimental and Observational Data Harsh Parikh Marco Morucci Vittorio Orlandi Sudeepa Roy Cynthia Rudin A. Volfovsky 49 8 0 04 Jul 2023
Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators Lin Liu Rajarshi Mukherjee J. M. Robins 78 2 0 18 Jun 2023
Semiparametric Efficiency Gains From Parametric Restrictions on Propensity Scores Haruki Kono 42 0 0 07 Jun 2023
Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity Lin Liu Yuhao Wang 72 0 0 07 May 2023
Augmented balancing weights as linear regression David Bruns-Smith O. Dukes Avi Feller Elizabeth L. Ogburn 96 11 0 27 Apr 2023
Variable Importance Matching for Causal Inference Quinn Lanners Harsh Parikh A. Volfovsky Cynthia Rudin David Page CML 95 1 0 23 Feb 2023
Convolutional neural networks for valid and efficient causal inference Mohammad Ghasempour Niloofar Moosavi X. de Luna CML 64 2 0 27 Jan 2023
Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression Models T. Tony Cai Zijian Guo Yin Xia 106 7 0 25 Jan 2023
Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap Ganesh Karapakula 61 0 0 13 Jan 2023
Nonparametric Estimation of Conditional Incremental Effects Alec McClean Zach Branson Edward H. Kennedy CML 60 8 0 07 Dec 2022
Falsification before Extrapolation in Causal Effect Estimation Zeshan Hussain Michael Oberst M. Shih David Sontag CML 95 9 0 27 Sep 2022
Heterogeneous Treatment Effect Bounds under Sample Selection with an Application to the Effects of Social Media on Political Polarization Phillip Heiler CML 37 4 0 09 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 64 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 55 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 112 17 0 17 Aug 2022
Neural Score Matching for High-Dimensional Causal Inference Oscar Clivio Fabian Falck B. Lehmann George Deligiannidis Chris Holmes CML 66 8 0 01 Mar 2022
Improved inference for doubly robust estimators of heterogeneous treatment effects Hee-Choon Shin Joseph Antonelli 56 4 0 05 Nov 2021
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning Ye Shen Hengrui Cai Rui Song OffRL 117 2 0 29 Oct 2021
Efficient and Robust Semi-supervised Estimation of ATE with Partially Annotated Treatment and Response Jue Hou Rajarshi Mukherjee Tianxi Cai CML 67 6 0 24 Oct 2021
$β$ -Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap Pengzhou (Abel) Wu Kenji Fukumizu CML 77 15 0 11 Oct 2021
Normalized Augmented Inverse Probability Weighting with Neural Network Predictions M. Rostami O. Saarela 18 5 0 03 Aug 2021
An Interpretable Neural Network for Parameter Inference Johann Pfitzinger 69 0 0 10 Jun 2021
Trading-off Bias and Variance in Stratified Experiments and in Matching Studies, Under a Boundedness Condition on the Magnitude of the Treatment Effect C. D. Chaisemartin 89 0 0 18 May 2021
The costs and benefits of uniformly valid causal inference with high-dimensional nuisance parameters Niloofar Moosavi J. Haggstrom X. de Luna 64 15 0 05 May 2021
Generalized Linear Models with Structured Sparsity Estimators Mehmet Caner 57 2 0 29 Apr 2021
Doubly robust capture-recapture methods for estimating population size Manjari Das Edward H. Kennedy Nicholas P. Jewell 29 8 0 29 Apr 2021
Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap Yuqian Zhang Abhishek Chakrabortty Jelena Bradic 54 10 0 14 Apr 2021
Consistency of $p$ -norm based tests in high dimensions: characterization, monotonicity, domination Anders Bredahl Kock David Preinerstorfer 51 2 0 20 Mar 2021
Dynamic covariate balancing: estimating treatment effects over time with potential local projections Davide Viviano Jelena Bradic 80 0 0 01 Mar 2021
Covariate balancing for causal inference on categorical and continuous treatments Seong-ho Lee Yanyuan Ma X. de Luna CML 36 4 0 28 Feb 2021
Semiparametric counterfactual density estimation Edward H. Kennedy Sivaraman Balakrishnan Larry A. Wasserman 170 57 0 24 Feb 2021
The Causal Learning of Retail Delinquency Yiyan Huang Cheuk Hang Leung Xing Yan Qi Wu Nanbo Peng DongDong Wang Zhixiang Huang CML 68 8 0 17 Dec 2020
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders Yuhao Wang Rajen Dinesh Shah 153 17 0 17 Nov 2020
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies Zijian Guo 56 17 0 15 Nov 2020
Targeting for long-term outcomes Jeremy Yang Dean Eckles Paramveer S. Dhillon Sinan Aral OffRL 72 52 0 29 Oct 2020
Deep Learning for Individual Heterogeneity M. Farrell Tengyuan Liang S. Misra BDL 74 17 0 28 Oct 2020
Double Robust Representation Learning for Counterfactual Prediction Shuxi Zeng Serge Assaad Chenyang Tao Shounak Datta Lawrence Carin Fan Li OOD CML 71 6 0 15 Oct 2020
High-dimensional Model-assisted Inference for Local Average Treatment Effects with Instrumental Variables Baoluo Sun Z. Tan 18 13 0 19 Sep 2020
Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data Y. Ning Sida Peng Jing Tao 57 5 0 07 Sep 2020
Causal Inference in Possibly Nonlinear Factor Models Yingjie Feng CML 50 7 0 31 Aug 2020