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Structured signal recovery from non-linear and heavy-tailed measurements
v1v2 (latest)

Structured signal recovery from non-linear and heavy-tailed measurements

5 September 2016
L. Goldstein
Stanislav Minsker
Xiaohan Wei
ArXiv (abs)PDFHTML

Papers citing "Structured signal recovery from non-linear and heavy-tailed measurements"

20 / 20 papers shown
Title
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression
Bhavya Agrawalla
Krishnakumar Balasubramanian
Promit Ghosal
107
2
0
20 Feb 2023
Misspecified Phase Retrieval with Generative Priors
Misspecified Phase Retrieval with Generative Priors
Zhaoqiang Liu
Xinshao Wang
Jiulong Liu
72
6
0
11 Oct 2022
Functional linear and single-index models: A unified approach via
  Gaussian Stein identity
Functional linear and single-index models: A unified approach via Gaussian Stein identity
Krishnakumar Balasubramanian
Hans-Georg Müller
Bharath K. Sriperumbudur
45
6
0
08 Jun 2022
Non-Iterative Recovery from Nonlinear Observations using Generative
  Models
Non-Iterative Recovery from Nonlinear Observations using Generative Models
Jiulong Liu
Zhaoqiang Liu
101
12
0
31 May 2022
Robust parameter estimation of regression model under weakened moment
  assumptions
Robust parameter estimation of regression model under weakened moment assumptions
Kangqiang Li
Songqiao Tang
Lixin Zhang
39
0
0
08 Dec 2021
A Unified Approach to Uniform Signal Recovery From Non-Linear
  Observations
A Unified Approach to Uniform Signal Recovery From Non-Linear Observations
Martin Genzel
A. Stollenwerk
49
6
0
19 Sep 2020
Optimal Combination of Linear and Spectral Estimators for Generalized
  Linear Models
Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models
Marco Mondelli
Christos Thrampoulidis
R. Venkataramanan
77
17
0
07 Aug 2020
The Generalized Lasso with Nonlinear Observations and Generative Priors
The Generalized Lasso with Nonlinear Observations and Generative Priors
Zhaoqiang Liu
Jonathan Scarlett
59
28
0
22 Jun 2020
Generic Error Bounds for the Generalized Lasso with Sub-Exponential Data
Generic Error Bounds for the Generalized Lasso with Sub-Exponential Data
Martin Genzel
Christian Kipp
114
10
0
11 Apr 2020
Sharp Asymptotics and Optimal Performance for Inference in Binary Models
Sharp Asymptotics and Optimal Performance for Inference in Binary Models
Hossein Taheri
Ramtin Pedarsani
Christos Thrampoulidis
84
26
0
17 Feb 2020
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric
  Framework
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework
Abhishek Chakrabortty
Jiarui Lu
T. Tony Cai
Hongzhe Li
35
6
0
26 Nov 2019
Inference In High-dimensional Single-Index Models Under Symmetric
  Designs
Inference In High-dimensional Single-Index Models Under Symmetric Designs
Hamid Eftekhari
Moulinath Banerjee
Yaácov Ritov
29
2
0
08 Sep 2019
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal
  Statistical Rate and Global Landscape Analysis
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
Shuang Qiu
Xiaohan Wei
Zhuoran Yang
72
25
0
14 Aug 2019
High-dimensional Varying Index Coefficient Models via Stein's Identity
High-dimensional Varying Index Coefficient Models via Stein's Identity
Sen Na
Zhuoran Yang
Zhaoran Wang
Mladen Kolar
80
22
0
16 Oct 2018
Structured Recovery with Heavy-tailed Measurements: A Thresholding
  Procedure and Optimal Rates
Structured Recovery with Heavy-tailed Measurements: A Thresholding Procedure and Optimal Rates
Xiaohan Wei
71
11
0
16 Apr 2018
Misspecified Nonconvex Statistical Optimization for Phase Retrieval
Misspecified Nonconvex Statistical Optimization for Phase Retrieval
Zhuoran Yang
Lin F. Yang
Ethan X. Fang
T. Zhao
Zhaoran Wang
Matey Neykov
37
15
0
18 Dec 2017
Lifting high-dimensional nonlinear models with Gaussian regressors
Lifting high-dimensional nonlinear models with Gaussian regressors
Christos Thrampoulidis
A. S. Rawat
50
8
0
11 Dec 2017
On Stein's Identity and Near-Optimal Estimation in High-dimensional
  Index Models
On Stein's Identity and Near-Optimal Estimation in High-dimensional Index Models
Zhuoran Yang
Krishnakumar Balasubramanian
Han Liu
55
15
0
26 Sep 2017
Surrogate Aided Unsupervised Recovery of Sparse Signals in Single Index
  Models for Binary Outcomes
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
Least squares estimation in the monotone single index model
Least squares estimation in the monotone single index model
F. Balabdaoui
C. Durot
H. Jankowski
75
45
0
19 Oct 2016
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