De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers

23 February 2018

Papers citing "De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers"

15 / 15 papers shown

Title
Learning High-dimensional Gaussians from Censored Data Arnab Bhattacharyya C. Daskalakis Themis Gouleakis Yuhao Wang 31 0 0 28 Apr 2025
Automatic debiasing of neural networks via moment-constrained learning Christian L. Hines Oliver J. Hines CML OOD 31 0 0 29 Sep 2024
Orthogonal Causal Calibration Justin Whitehouse Christopher Jung Vasilis Syrgkanis Bryan Wilder Zhiwei Steven Wu CML 114 1 0 04 Jun 2024
Inference on Optimal Dynamic Policies via Softmax Approximation Qizhao Chen Morgane Austern Vasilis Syrgkanis OffRL 25 1 0 08 Mar 2023
Inference on Strongly Identified Functionals of Weakly Identified Functions Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 30 15 0 17 Aug 2022
A nonparametric doubly robust test for a continuous treatment effect Charles R. Doss Guangwei Weng Lan Wang I. Moscovice T. Chantarat 9 1 0 07 Feb 2022
Long Story Short: Omitted Variable Bias in Causal Machine Learning Victor Chernozhukov Carlos Cinelli Whitney Newey Amit Sharma Vasilis Syrgkanis CML 16 35 0 26 Dec 2021
Knowledge Distillation as Semiparametric Inference Tri Dao G. Kamath Vasilis Syrgkanis Lester W. Mackey 14 31 0 20 Apr 2021
Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves Rahul Singh Liyuan Xu A. Gretton OffRL 48 26 0 10 Oct 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond Nathan Kallus Xiaojie Mao Masatoshi Uehara 23 25 0 30 Dec 2019
Characterization of parameters with a mixed bias property A. Rotnitzky Ezequiel Smucler J. M. Robins 14 65 0 07 Apr 2019
Debiased Inference of Average Partial Effects in Single-Index Models David A. Hirshberg Stefan Wager CML 16 13 0 06 Nov 2018
Automatic Debiased Machine Learning of Causal and Structural Effects Victor Chernozhukov Whitney Newey Rahul Singh CML AI4CE 16 103 0 14 Sep 2018
High-Dimensional Econometrics and Regularized GMM A. Belloni Victor Chernozhukov Denis Chetverikov Christian B. Hansen Kengo Kato 24 67 0 05 Jun 2018
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 99 160 0 17 Jan 2013