L1-Regularized Least Squares for Support Recovery of High Dimensional
Single Index Models with Gaussian Designs

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L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs

25 November 2015

Tianxi Cai

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Papers citing "L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs"

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Title
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery Caixing Wang Ziliang Shen 71 0 0 13 May 2024
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 86 6 0 11 Oct 2022
Non-Iterative Recovery from Nonlinear Observations using Generative Models Jiulong Liu Zhaoqiang Liu 105 12 0 31 May 2022
Robust parameter estimation of regression model under weakened moment assumptions Kangqiang Li Songqiao Tang Lixin Zhang 50 0 0 08 Dec 2021
Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension Yuling Jiao Dingwei Li Min Liu Xiliang Lu Yuanyuan Yang 110 2 0 29 Nov 2021
Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models Marco Mondelli Christos Thrampoulidis R. Venkataramanan 77 17 0 07 Aug 2020
High-dimensional Varying Index Coefficient Models via Stein's Identity Sen Na Zhuoran Yang Zhaoran Wang Mladen Kolar 80 22 0 16 Oct 2018
A Novel Framework for Online Supervised Learning with Feature Selection Lizhe Sun Yangzi Guo Siquan Zhu Adrian Barbu 97 12 0 30 Mar 2018
Surrogate Aided Unsupervised Recovery of Sparse Signals in Single Index Models for Binary Outcomes Abhishek Chakrabortty Matey Neykov Ray Carroll Tianxi Cai 35 2 0 18 Jan 2017
Sparse Sliced Inverse Regression Via Lasso Q. Lin Zhigen Zhao Jun S. Liu 141 84 0 21 Nov 2016