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1705.07577
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Semiparametric Efficient Empirical Higher Order Influence Function Estimators
22 May 2017
Lin Liu
Rajarshi Mukherjee
Whitney Newey
J. M. Robins
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Papers citing
"Semiparametric Efficient Empirical Higher Order Influence Function Estimators"
19 / 19 papers shown
Title
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
Jikai Jin
Vasilis Syrgkanis
CML
215
1
0
22 Feb 2024
The Fundamental Limits of Structure-Agnostic Functional Estimation
Sivaraman Balakrishnan
Edward H. Kennedy
Larry A. Wasserman
70
11
0
06 May 2023
New
n
\sqrt{n}
n
-consistent, numerically stable higher-order influence function estimators
Lin Liu
Chang Li
57
0
0
16 Feb 2023
A Review of Off-Policy Evaluation in Reinforcement Learning
Masatoshi Uehara
C. Shi
Nathan Kallus
OffRL
102
76
0
13 Dec 2022
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning
Siqi Xu
Lin Liu
Zhong Liu
CML
MedIm
67
9
0
10 Oct 2022
Robust Causal Learning for the Estimation of Average Treatment Effects
Yiyan Huang
Cheuk Hang Leung
Xing Yan
Qi Wu
Shumin Ma
Zhiri Yuan
DongDong Wang
Zhixiang Huang
OOD
CML
55
7
0
05 Sep 2022
Minimax rates for heterogeneous causal effect estimation
Edward H. Kennedy
Sivaraman Balakrishnan
James M. Robins
Larry A. Wasserman
CML
93
31
0
02 Mar 2022
Deeply-Debiased Off-Policy Interval Estimation
C. Shi
Runzhe Wan
Victor Chernozhukov
R. Song
OffRL
53
38
0
10 May 2021
Robust Orthogonal Machine Learning of Treatment Effects
Yiyan Huang
Cheuk Hang Leung
Qi Wu
Xing Yan
OOD
CML
59
0
0
22 Mar 2021
Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning
Lin Liu
Rajarshi Mukherjee
J. M. Robins
CML
77
16
0
07 Aug 2020
Assumption-lean inference for generalised linear model parameters
S. Vansteelandt
O. Dukes
CML
150
54
0
15 Jun 2020
Double Generative Adversarial Networks for Conditional Independence Testing
C. Shi
Tianlin Xu
Wicher P. Bergsma
Lexin Li
110
28
0
03 Jun 2020
Nonparametric inverse probability weighted estimators based on the highly adaptive lasso
Ashkan Ertefaie
N. Hejazi
M. J. van der Laan
135
24
0
22 May 2020
Estimation of Smooth Functionals in Normal Models: Bias Reduction and Asymptotic Efficiency
V. Koltchinskii
M. Zhilova
37
11
0
18 Dec 2019
On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning
Lin Liu
Rajarshi Mukherjee
J. M. Robins
25
2
0
08 Apr 2019
Cross-Fitting and Fast Remainder Rates for Semiparametric Estimation
Whitney Newey
Jamie Robins
107
148
0
27 Jan 2018
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
Jiantao Jiao
Weihao Gao
Yanjun Han
78
47
0
23 Nov 2017
Optimal rates of entropy estimation over Lipschitz balls
Yanjun Han
Jiantao Jiao
Tsachy Weissman
Yihong Wu
114
73
0
06 Nov 2017
On Estimation of
L
r
L_{r}
L
r
-Norms in Gaussian White Noise Models
Yanjun Han
Jiantao Jiao
Rajarshi Mukherjee
89
27
0
11 Oct 2017
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