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Minimax Semiparametric Learning With Approximate Sparsity

Minimax Semiparametric Learning With Approximate Sparsity

27 December 2019
Jelena Bradic
Victor Chernozhukov
Whitney Newey
Yinchu Zhu
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Papers citing "Minimax Semiparametric Learning With Approximate Sparsity"

5 / 5 papers shown
Title
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
Jikai Jin
Vasilis Syrgkanis
CML
67
1
0
22 Feb 2024
Off-policy estimation of linear functionals: Non-asymptotic theory for
  semi-parametric efficiency
Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency
Wenlong Mou
Martin J. Wainwright
Peter L. Bartlett
OffRL
28
11
0
26 Sep 2022
Localized Debiased Machine Learning: Efficient Inference on Quantile
  Treatment Effects and Beyond
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond
Nathan Kallus
Xiaojie Mao
Masatoshi Uehara
23
25
0
30 Dec 2019
Automatic Debiased Machine Learning of Causal and Structural Effects
Automatic Debiased Machine Learning of Causal and Structural Effects
Victor Chernozhukov
Whitney Newey
Rahul Singh
CML
AI4CE
21
103
0
14 Sep 2018
Hypothesis Testing in High-Dimensional Regression under the Gaussian
  Random Design Model: Asymptotic Theory
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory
Adel Javanmard
Andrea Montanari
107
160
0
17 Jan 2013
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