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Regularized Orthogonal Machine Learning for Nonlinear Semiparametric
  Models

Regularized Orthogonal Machine Learning for Nonlinear Semiparametric Models

13 June 2018
Denis Nekipelov
Vira Semenova
Vasilis Syrgkanis
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Papers citing "Regularized Orthogonal Machine Learning for Nonlinear Semiparametric Models"

5 / 5 papers shown
Title
Orthogonal Statistical Learning with Self-Concordant Loss
Orthogonal Statistical Learning with Self-Concordant Loss
Lang Liu
Carlos Cinelli
Zaïd Harchaoui
24
2
0
30 Apr 2022
Knowledge Distillation as Semiparametric Inference
Knowledge Distillation as Semiparametric Inference
Tri Dao
G. Kamath
Vasilis Syrgkanis
Lester W. Mackey
40
31
0
20 Apr 2021
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
25
25
0
30 Dec 2019
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
196
749
0
04 Apr 2008
Discussion: The Dantzig selector: Statistical estimation when $p$ is
  much larger than $n$
Discussion: The Dantzig selector: Statistical estimation when ppp is much larger than nnn
B. Efron
Trevor Hastie
Robert Tibshirani
157
90
0
21 Mar 2008
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