Regularized Orthogonal Machine Learning for Nonlinear Semiparametric
Models

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Regularized Orthogonal Machine Learning for Nonlinear Semiparametric Models

13 June 2018

Denis Nekipelov

Vasilis Syrgkanis

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Papers citing "Regularized Orthogonal Machine Learning for Nonlinear Semiparametric Models"

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Title
Causal hybrid modeling with double machine learning Kai-Hendrik Cohrs Gherardo Varando Nuno Carvalhais Markus Reichstein Gustau Camps-Valls 128 5 0 20 Feb 2024
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
Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing Ravi Kumar Shahin Boluki Karl Isler Jonas Rauch Darius Walczak OOD 34 1 0 04 May 2022
Orthogonal Statistical Learning with Self-Concordant Loss Lang Liu Carlos Cinelli Zaïd Harchaoui 50 2 0 30 Apr 2022
Knowledge Distillation as Semiparametric Inference Tri Dao G. Kamath Vasilis Syrgkanis Lester W. Mackey 84 32 0 20 Apr 2021
Deep Learning for Individual Heterogeneity M. Farrell Tengyuan Liang S. Misra BDL 74 0 0 28 Oct 2020
Double/Debiased Machine Learning for Dynamic Treatment Effects via g-Estimation Greg Lewis Vasilis Syrgkanis CML 92 35 0 17 Feb 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond Nathan Kallus Xiaojie Mao Masatoshi Uehara 68 27 0 30 Dec 2019
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments Vasilis Syrgkanis Victor Lei Miruna Oprescu Maggie Hei Keith Battocchi Greg Lewis CML 50 73 0 24 May 2019
Orthogonal Statistical Learning Dylan J. Foster Vasilis Syrgkanis 162 174 0 25 Jan 2019
Non-Parametric Inference Adaptive to Intrinsic Dimension Khashayar Khosravi Greg Lewis Vasilis Syrgkanis 485 7 0 11 Jan 2019