Semi-parametric efficiency bounds for high-dimensional models

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Semi-parametric efficiency bounds for high-dimensional models

5 January 2016

Sara van de Geer

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Papers citing "Semi-parametric efficiency bounds for high-dimensional models"

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Title
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression Ismaël Castillo Alice L'Huillier Kolyan Ray Luke Travis 65 0 0 18 Jun 2024
Reconciling model-X and doubly robust approaches to conditional independence testing Ziang Niu Abhinav Chakraborty O. Dukes Eugene Katsevich 72 7 0 27 Nov 2022
Small Tuning Parameter Selection for the Debiased Lasso Akira Shinkyu N. Sueishi 35 1 0 18 Aug 2022
Inference for Low-Rank Models Victor Chernozhukov Christian B. Hansen Yuan Liao Yinchu Zhu 58 12 0 06 Jul 2021
A New Perspective on Debiasing Linear Regressions Yufei Yi Matey Neykov 80 2 0 08 Apr 2021
The Efficiency Gap Timo Dimitriadis Tobias Fissler J. Ziegel 89 22 0 27 Oct 2020
Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding Zijian Guo Domagoj Cevid Peter Buhlmann CML 69 39 0 08 Apr 2020
Scale calibration for high-dimensional robust regression Yu Li 58 27 0 06 Nov 2018
De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers Victor Chernozhukov Whitney Newey Rahul Singh 110 93 0 23 Feb 2018
Inference in high-dimensional graphical models Jana Janková Sara van de Geer 53 65 0 25 Jan 2018
Asymptotically Efficient Estimation of Smooth Functionals of Covariance Operators V. Koltchinskii 93 30 0 25 Oct 2017
On the efficiency of the de-biased Lasso Sara van de Geer 65 6 0 26 Aug 2017
Efficient Estimation of Linear Functionals of Principal Components V. Koltchinskii Matthias Loffler Richard Nickl 78 33 0 25 Aug 2017
Inference for high-dimensional instrumental variables regression David Gold Johannes Lederer Jing Tao 89 36 0 18 Aug 2017