Optimal estimation of variance in nonparametric regression with random
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Optimal estimation of variance in nonparametric regression with random design

27 February 2019

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Papers citing "Optimal estimation of variance in nonparametric regression with random design"

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Title
The Fundamental Limits of Structure-Agnostic Functional Estimation Sivaraman Balakrishnan Edward H. Kennedy Larry A. Wasserman 70 11 0 06 May 2023
Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency Wenlong Mou Peng Ding Martin J. Wainwright Peter L. Bartlett OffRL 79 11 0 16 Jan 2023
Variance estimation in graphs with the fused lasso Oscar Hernan Madrid Padilla 174 5 0 26 Jul 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
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
Regression with reject option and application to kNN Christophe Denis Mohamed Hebiri A. Zaoui 68 36 0 30 Jun 2020
Nonparametric estimation in a regression model with additive and multiplicative noise C. Chesneau Salima El Kolei Junke Kou F. Navarro 80 11 0 18 Jun 2019
Covariate-Powered Empirical Bayes Estimation Nikolaos Ignatiadis Stefan Wager 53 20 0 04 Jun 2019