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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

22 October 2017
M. Ahsen
M. Vidyasagar
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Papers citing "An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory"

3 / 3 papers shown
Title
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
Ilias Diakonikolas
D. Kane
Jasper C. H. Lee
Ankit Pensia
30
12
0
29 Nov 2022
Improved Generalization Bound and Learning of Sparsity Patterns for
  Data-Driven Low-Rank Approximation
Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation
Shinsaku Sakaue
Taihei Oki
35
3
0
17 Sep 2022
Robust subgaussian estimation with VC-dimension
Robust subgaussian estimation with VC-dimension
Jules Depersin
27
12
0
24 Apr 2020
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