On Stein's Identity and Near-Optimal Estimation in High-dimensional
Index Models

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On Stein's Identity and Near-Optimal Estimation in High-dimensional Index Models

26 September 2017

Krishnakumar Balasubramanian

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Papers citing "On Stein's Identity and Near-Optimal Estimation in High-dimensional Index Models"

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Title
Dimension Reduction and MARSJournal of machine learning research (JMLR), 2023 Yu Liu Degui Li Yingcun Xia 178 1 0 11 Feb 2023
Robust parameter estimation of regression model under weakened moment assumptions Kangqiang Li Songqiao Tang Lixin Zhang 305 0 0 08 Dec 2021
The Generalized Lasso with Nonlinear Observations and Generative Priors Zhaoqiang Liu Jonathan Scarlett 264 29 0 22 Jun 2020
Learning Polynomials of Few Relevant DimensionsAnnual Conference Computational Learning Theory (COLT), 2020 Sitan Chen Raghu Meka 162 43 0 28 Apr 2020
Generic Error Bounds for the Generalized Lasso with Sub-Exponential DataSampling Theory, Signal Processing, and Data Analysis (TSPDA), 2020 Martin Genzel Christian Kipp 270 10 0 11 Apr 2020
Distributed Estimation for Principal Component Analysis: an Enlarged Eigenspace Analysis Xi Chen Jason D. Lee He Li Yun Yang 270 6 0 05 Apr 2020
II. High Dimensional Estimation under Weak Moment Assumptions: Structured Recovery and Matrix Estimation Xiaohan Wei 222 0 0 05 Mar 2020
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework Abhishek Chakrabortty Jiarui Lu T. Tony Cai Hongzhe Li 160 7 0 26 Nov 2019
Quickly Finding the Best Linear Model in High DimensionsIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019 Yahya Sattar Samet Oymak 132 8 0 03 Jul 2019
SqueezeFit: Label-aware dimensionality reduction by semidefinite programming Culver McWhirter D. Mixon Soledad Villar 122 8 0 06 Dec 2018
The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties Martin Genzel Gitta Kutyniok 178 2 0 20 Aug 2018
Structured Recovery with Heavy-tailed Measurements: A Thresholding Procedure and Optimal Rates Xiaohan Wei 169 11 0 16 Apr 2018