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Corrupted Sensing: Novel Guarantees for Separating Structured Signals

Corrupted Sensing: Novel Guarantees for Separating Structured Signals

11 May 2013
Rina Foygel
Lester W. Mackey
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Papers citing "Corrupted Sensing: Novel Guarantees for Separating Structured Signals"

17 / 17 papers shown
Title
Outlier Detection Using Generative Models with Theoretical Performance
  Guarantees
Outlier Detection Using Generative Models with Theoretical Performance Guarantees
Jirong Yi
A. D. Le
Tianming Wang
Xiaodong Wu
Weiyu Xu
27
3
0
16 Oct 2023
On Robust Recovery of Signals from Indirect Observations
On Robust Recovery of Signals from Indirect Observations
Yannis Bekri
A. Juditsky
A. Nemirovski
23
2
0
12 Sep 2023
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse
  Problems
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
Xiangming Meng
Y. Kabashima
DiffM
10
52
0
20 Nov 2022
Quantized Compressed Sensing with Score-based Generative Models
Quantized Compressed Sensing with Score-based Generative Models
Xiangming Meng
Y. Kabashima
DiffM
26
11
0
02 Nov 2022
Provable Training Set Debugging for Linear Regression
Provable Training Set Debugging for Linear Regression
Xiaomin Zhang
Xiaojin Zhu
Po-Ling Loh
24
0
0
16 Jun 2020
Outlier-robust estimation of a sparse linear model using
  $\ell_1$-penalized Huber's $M$-estimator
Outlier-robust estimation of a sparse linear model using ℓ1\ell_1ℓ1​-penalized Huber's MMM-estimator
A. Dalalyan
Philip Thompson
23
67
0
12 Apr 2019
Gradient Descent with Early Stopping is Provably Robust to Label Noise
  for Overparameterized Neural Networks
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks
Mingchen Li
Mahdi Soltanolkotabi
Samet Oymak
NoLa
39
351
0
27 Mar 2019
Basis Pursuit Denoise with Nonsmooth Constraints
Basis Pursuit Denoise with Nonsmooth Constraints
R. Baraldi
Rajiv Kumar
Aleksandr Aravkin
25
10
0
28 Nov 2018
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements
Canyi Lu
Jiashi Feng
Zhouchen Lin
Shuicheng Yan
45
102
0
07 Jun 2018
Linear Regression with Sparsely Permuted Data
Linear Regression with Sparsely Permuted Data
M. Slawski
E. Ben-David
34
71
0
16 Oct 2017
Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend
  Filtering
Adaptive Risk Bounds in Univariate Total Variation Denoising and Trend Filtering
Adityanand Guntuboyina
Donovan Lieu
S. Chatterjee
B. Sen
23
66
0
16 Feb 2017
Universality laws for randomized dimension reduction, with applications
Universality laws for randomized dimension reduction, with applications
Samet Oymak
J. Tropp
52
109
0
30 Nov 2015
Precise Phase Transition of Total Variation Minimization
Precise Phase Transition of Total Variation Minimization
Bingwen Zhang
Weiyu Xu
Jian-Feng Cai
Lifeng Lai
15
9
0
15 Sep 2015
A Geometric View on Constrained M-Estimators
A Geometric View on Constrained M-Estimators
Yen-Huan Li
Ya-Ping Hsieh
N. Zerbib
V. Cevher
19
6
0
26 Jun 2015
Tight convex relaxations for sparse matrix factorization
Tight convex relaxations for sparse matrix factorization
E. Richard
G. Obozinski
Jean-Philippe Vert
56
43
0
19 Jul 2014
A new perspective on least squares under convex constraint
A new perspective on least squares under convex constraint
S. Chatterjee
51
114
0
04 Feb 2014
On Recovery of Sparse Signals via $\ell_1$ Minimization
On Recovery of Sparse Signals via ℓ1\ell_1ℓ1​ Minimization
T. Cai
Guangwu Xu
Jun Zhang
69
155
0
01 May 2008
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