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Cross-Fitting and Fast Remainder Rates for Semiparametric Estimation

Cross-Fitting and Fast Remainder Rates for Semiparametric Estimation

27 January 2018
Whitney Newey
Jamie Robins
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Papers citing "Cross-Fitting and Fast Remainder Rates for Semiparametric Estimation"

17 / 67 papers shown
Title
Efficient Estimation of Pathwise Differentiable Target Parameters with
  the Undersmoothed Highly Adaptive Lasso
Efficient Estimation of Pathwise Differentiable Target Parameters with the Undersmoothed Highly Adaptive Lasso
M. J. van der Laan
David Benkeser
Weixin Cai
8
23
0
14 Aug 2019
Sparsity Double Robust Inference of Average Treatment Effects
Sparsity Double Robust Inference of Average Treatment Effects
Jelena Bradic
Stefan Wager
Yinchu Zhu
CML
17
39
0
02 May 2019
Average Density Estimators: Efficiency and Bootstrap Consistency
Average Density Estimators: Efficiency and Bootstrap Consistency
M. D. Cattaneo
Michael Jansson
MDE
8
10
0
19 Apr 2019
On nearly assumption-free tests of nominal confidence interval coverage
  for causal parameters estimated by machine learning
On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning
Lin Liu
Rajarshi Mukherjee
J. M. Robins
9
2
0
08 Apr 2019
Minimax Linear Estimation of the Retargeted Mean
Minimax Linear Estimation of the Retargeted Mean
David A. Hirshberg
A. Maleki
J. Zubizarreta
CML
16
38
0
11 Jan 2019
Robust Estimation of Causal Effects via High-Dimensional Covariate
  Balancing Propensity Score
Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score
Y. Ning
Sida Peng
Kosuke Imai
28
87
0
20 Dec 2018
Offline Multi-Action Policy Learning: Generalization and Optimization
Offline Multi-Action Policy Learning: Generalization and Optimization
Zhengyuan Zhou
Susan Athey
Stefan Wager
OffRL
22
121
0
10 Oct 2018
Deep Neural Networks for Estimation and Inference
Deep Neural Networks for Estimation and Inference
M. Farrell
Tengyuan Liang
S. Misra
BDL
19
254
0
26 Sep 2018
Heteroskedasticity-robust inference in linear regression models with
  many covariates
Heteroskedasticity-robust inference in linear regression models with many covariates
Koen Jochmans
11
3
0
17 Sep 2018
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
24
103
0
14 Sep 2018
Two-Step Estimation and Inference with Possibly Many Included Covariates
Two-Step Estimation and Inference with Possibly Many Included Covariates
M. D. Cattaneo
Michael Jansson
Xinwei Ma
CML
8
68
0
26 Jul 2018
The Hardness of Conditional Independence Testing and the Generalised
  Covariance Measure
The Hardness of Conditional Independence Testing and the Generalised Covariance Measure
Rajen Dinesh Shah
J. Peters
9
291
0
19 Apr 2018
De-Biased Machine Learning of Global and Local Parameters Using
  Regularized Riesz Representers
De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers
Victor Chernozhukov
Whitney Newey
Rahul Singh
21
91
0
23 Feb 2018
Selective inference for effect modification via the lasso
Selective inference for effect modification via the lasso
Qingyuan Zhao
Dylan S. Small
Ashkan Ertefaie
CML
14
50
0
22 May 2017
Semiparametric Efficient Empirical Higher Order Influence Function
  Estimators
Semiparametric Efficient Empirical Higher Order Influence Function Estimators
Lin Liu
Rajarshi Mukherjee
Whitney Newey
J. M. Robins
21
38
0
22 May 2017
Locally Robust Semiparametric Estimation
Locally Robust Semiparametric Estimation
Victor Chernozhukov
J. Escanciano
Hidehiko Ichimura
Whitney Newey
J. M. Robins
24
205
0
29 Jul 2016
A simple adaptive estimator of the integrated square of a density
A simple adaptive estimator of the integrated square of a density
Evarist Giné
Richard Nickl
71
63
0
06 Mar 2008
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