Semiparametric Efficient Empirical Higher Order Influence Function
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Semiparametric Efficient Empirical Higher Order Influence Function Estimators

22 May 2017

Rajarshi Mukherjee

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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 $\sqrt{n}$-consistent, numerically stable higher-order influence function estimators$ New $\sqrt{n}$ -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 75 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 $L_{r}$-Norms in Gaussian White Noise Models$ On Estimation of $L_{r}$ -Norms in Gaussian White Noise Models Yanjun Han Jiantao Jiao Rajarshi Mukherjee 89 27 0 11 Oct 2017