Debiased Machine Learning without Sample-Splitting for Stable Estimators

3 June 2022

Papers citing "Debiased Machine Learning without Sample-Splitting for Stable Estimators"

8 / 8 papers shown

Title
Automatic debiasing of neural networks via moment-constrained learning Christian L. Hines Oliver J. Hines CML OOD 59 0 0 29 Sep 2024
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation Jikai Jin Vasilis Syrgkanis CML 98 1 0 22 Feb 2024
Adversarial Estimation of Riesz Representers Victor Chernozhukov Whitney Newey Rahul Singh Vasilis Syrgkanis 31 45 0 30 Dec 2020
Cross-validation Confidence Intervals for Test Error Pierre Bayle Alexandre Bayle Lucas Janson Lester W. Mackey 11 40 0 24 Jul 2020
Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach Victor Chernozhukov Christian B. Hansen Martin Spindler 144 174 0 14 Jan 2015
Program Evaluation and Causal Inference with High-Dimensional Data A. Belloni Victor Chernozhukov Iván Fernández-Val Christian B. Hansen CML 131 357 0 11 Nov 2013
Asymptotic normality and optimalities in estimation of large Gaussian graphical models Zhao Ren Tingni Sun Cun-Hui Zhang Harrison H. Zhou 125 245 0 24 Sep 2013
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls" A. Belloni Victor Chernozhukov Christian B. Hansen 185 1,401 0 27 May 2013