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One-bit compressive sensing with norm estimation

One-bit compressive sensing with norm estimation

28 April 2014
Karin C. Knudson
Rayan Saab
Rachel A. Ward
ArXivPDFHTML

Papers citing "One-bit compressive sensing with norm estimation"

29 / 29 papers shown
Title
One-bit Compressed Sensing using Generative Models
One-bit Compressed Sensing using Generative Models
Swatantra Kafle
Geethu Joseph
P. Varshney
DiffM
GAN
81
6
0
18 Feb 2025
Tuning-free one-bit covariance estimation using data-driven dithering
Tuning-free one-bit covariance estimation using data-driven dithering
S. Dirksen
J. Maly
30
7
0
24 Jul 2023
Differential Privacy with Random Projections and Sign Random Projections
Differential Privacy with Random Projections and Sign Random Projections
P. Li
Xiaoyun Li
52
8
0
22 May 2023
OPORP: One Permutation + One Random Projection
OPORP: One Permutation + One Random Projection
Ping Li
Xiaoyun Li
47
8
0
07 Feb 2023
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax
  Rates, Covariate Quantization, and Uniform Recovery
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery
Junren Chen
Michael Kwok-Po Ng
Di Wang
MQ
28
13
0
30 Dec 2022
Binary Iterative Hard Thresholding Converges with Optimal Number of
  Measurements for 1-Bit Compressed Sensing
Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing
Namiko Matsumoto
A. Mazumdar
MQ
36
10
0
07 Jul 2022
One-Bit Compressive Sensing: Can We Go Deep and Blind?
One-Bit Compressive Sensing: Can We Go Deep and Blind?
Yiming Zeng
Shahin Khobahi
M. Soltanalian
9
6
0
13 Mar 2022
High Dimensional Statistical Estimation under Uniformly Dithered One-bit
  Quantization
High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization
Junren Chen
Cheng-Long Wang
Michael Kwok-Po Ng
Di Wang
MQ
28
17
0
26 Feb 2022
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant
  Matrices and Generative Priors
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors
Zhaoqiang Liu
Subhro Ghosh
J. Han
Jonathan Scarlett
37
5
0
08 Aug 2021
New challenges in covariance estimation: multiple structures and coarse
  quantization
New challenges in covariance estimation: multiple structures and coarse quantization
J. Maly
Tianyu Yang
S. Dirksen
Holger Rauhut
Giuseppe Caire
29
3
0
11 Jun 2021
AdaBoost and robust one-bit compressed sensing
AdaBoost and robust one-bit compressed sensing
Geoffrey Chinot
Felix Kuchelmeister
Matthias Löffler
Sara van de Geer
35
5
0
05 May 2021
Covariance estimation under one-bit quantization
Covariance estimation under one-bit quantization
S. Dirksen
J. Maly
Holger Rauhut
MQ
34
20
0
02 Apr 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
19
6
0
19 Sep 2020
One-Bit Compressed Sensing via One-Shot Hard Thresholding
One-Bit Compressed Sensing via One-Shot Hard Thresholding
Jie Shen
20
5
0
07 Jul 2020
The Generalized Lasso with Nonlinear Observations and Generative Priors
The Generalized Lasso with Nonlinear Observations and Generative Priors
Zhaoqiang Liu
Jonathan Scarlett
12
26
0
22 Jun 2020
Procrustean Orthogonal Sparse Hashing
Procrustean Orthogonal Sparse Hashing
Mariano Tepper
D. Sengupta
Ted Willke
11
1
0
08 Jun 2020
Attribute-Efficient Learning of Halfspaces with Malicious Noise:
  Near-Optimal Label Complexity and Noise Tolerance
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance
Jie Shen
Chicheng Zhang
22
14
0
06 Jun 2020
Efficient active learning of sparse halfspaces with arbitrary bounded
  noise
Efficient active learning of sparse halfspaces with arbitrary bounded noise
Chicheng Zhang
Jie Shen
Pranjal Awasthi
30
42
0
12 Feb 2020
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable
  Embeddings with Generative Priors
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors
Zhaoqiang Liu
S. Gomes
Avtansh Tiwari
Jonathan Scarlett
29
27
0
05 Feb 2020
Model-Aware Deep Architectures for One-Bit Compressive Variational
  Autoencoding
Model-Aware Deep Architectures for One-Bit Compressive Variational Autoencoding
Shahin Khobahi
M. Soltanalian
19
13
0
27 Nov 2019
Fast Signal Recovery from Saturated Measurements by Linear Loss and
  Nonconvex Penalties
Fast Signal Recovery from Saturated Measurements by Linear Loss and Nonconvex Penalties
Fan He
Xiaolin Huang
Yipeng Liu
Ming Yan
31
3
0
12 Sep 2018
The Generalized Lasso for Sub-gaussian Measurements with Dithered
  Quantization
The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization
Christos Thrampoulidis
A. S. Rawat
MQ
24
30
0
18 Jul 2018
As you like it: Localization via paired comparisons
As you like it: Localization via paired comparisons
A. Massimino
Mark A. Davenport
14
16
0
19 Feb 2018
Robust Decoding from 1-Bit Compressive Sampling with Least Squares
Robust Decoding from 1-Bit Compressive Sampling with Least Squares
Jian Huang
Yuling Jiao
Xiliang Lu
Liping Zhu
MQ
26
3
0
03 Nov 2017
An Approach to One-Bit Compressed Sensing Based on Probably
  Approximately Correct Learning Theory
An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory
M. Ahsen
M. Vidyasagar
24
10
0
22 Oct 2017
Nonconvex penalties with analytical solutions for one-bit compressive
  sensing
Nonconvex penalties with analytical solutions for one-bit compressive sensing
Xiaolin Huang
Ming Yan
43
28
0
04 Jun 2017
Non-asymptotic Analysis of $\ell_1$-norm Support Vector Machines
Non-asymptotic Analysis of ℓ1\ell_1ℓ1​-norm Support Vector Machines
A. Kolleck
J. Vybíral
27
5
0
27 Sep 2015
Pinball Loss Minimization for One-bit Compressive Sensing: Convex Models
  and Algorithms
Pinball Loss Minimization for One-bit Compressive Sensing: Convex Models and Algorithms
Xiaolin Huang
Lei Shi
Ming Yan
Johan A. K. Suykens
MQ
20
3
0
14 May 2015
Exponential decay of reconstruction error from binary measurements of
  sparse signals
Exponential decay of reconstruction error from binary measurements of sparse signals
Richard Baraniuk
S. Foucart
Deanna Needell
Y. Plan
Mary Wootters
MQ
35
120
0
31 Jul 2014
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