Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain

21 October 2010

Papers citing "Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain"

27 / 27 papers shown

Title
Learning Decision Policies with Instrumental Variables through Double Machine Learning Daqian Shao Ashkan Soleymani Francesco Quinzan Marta Z. Kwiatkowska 36 1 0 14 May 2024
Optimality of Matched-Pair Designs in Randomized Controlled Trials Yuehao Bai 26 52 0 15 Jun 2022
Asymptotic normality in linear regression with approximately sparse structure Saulius Jokubaitis R. Leipus 20 1 0 08 Mar 2022
Improving Inference from Simple Instruments through Compliance Estimation S. Coussens Jann Spiess CML 20 14 0 08 Aug 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
Machine Learning for Variance Reduction in Online Experiments Yongyi Guo Dominic Coey Mikael Konutgan Wenting Li Ch. P. Schoener Matt Goldman 16 34 0 14 Jun 2021
Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models Jiafeng Chen Daniel L. Chen Greg Lewis CML 25 15 0 12 Nov 2020
Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning Lin Liu Rajarshi Mukherjee J. M. Robins CML 33 16 0 07 Aug 2020
Lasso Inference for High-Dimensional Time Series R. Adámek Stephan Smeekes Ines Wilms AI4TS 30 33 0 21 Jul 2020
On Deep Instrumental Variables Estimate Ruiqi Liu Zuofeng Shang Guang Cheng 24 25 0 30 Apr 2020
Minimax Semiparametric Learning With Approximate Sparsity Jelena Bradic Victor Chernozhukov Whitney Newey Yinchu Zhu 47 21 0 27 Dec 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
High-Dimensional Econometrics and Regularized GMM A. Belloni Victor Chernozhukov Denis Chetverikov Christian B. Hansen Kengo Kato 26 67 0 05 Jun 2018
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
Testing Endogeneity with High Dimensional Covariates Zijian Guo Hyunseung Kang T. Tony Cai Dylan S. Small 27 24 0 21 Sep 2016
Locally Robust Semiparametric Estimation Victor Chernozhukov J. Escanciano Hidehiko Ichimura Whitney Newey J. M. Robins 21 203 0 29 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
On cross-validated Lasso in high dimensions Denis Chetverikov Z. Liao Victor Chernozhukov 24 80 0 07 May 2016
High-Dimensional Metrics in R Victor Chernozhukov C. Hansen Martin Spindler 27 16 0 05 Mar 2016
High-Dimensional $L_2$ Boosting: Rate of Convergence Ye Luo Martin Spindler Jannis Kuck 30 32 0 29 Feb 2016
Asymptotics of selective inference Xiaoying Tian Jonathan E. Taylor 29 68 0 15 Jan 2015
High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality Zhaoran Wang Quanquan Gu Y. Ning Han Liu 33 53 0 30 Dec 2014
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression Tianqi Zhao Mladen Kolar Han Liu 33 43 0 30 Dec 2014
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 181 292 0 09 Mar 2009
High-dimensional generalized linear models and the lasso Sara van de Geer 189 749 0 04 Apr 2008