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Between hard and soft thresholding: optimal iterative thresholding
  algorithms

Between hard and soft thresholding: optimal iterative thresholding algorithms

24 April 2018
Haoyang Liu
Rina Foygel Barber
ArXivPDFHTML

Papers citing "Between hard and soft thresholding: optimal iterative thresholding algorithms"

7 / 7 papers shown
Title
Slow Kill for Big Data Learning
Slow Kill for Big Data Learning
Yiyuan She
Jianhui Shen
Adrian Barbu
30
3
0
02 May 2023
Understanding Best Subset Selection: A Tale of Two C(omplex)ities
Understanding Best Subset Selection: A Tale of Two C(omplex)ities
Saptarshi Roy
Ambuj Tewari
Ziwei Zhu
20
0
0
16 Jan 2023
Stochastic Mirror Descent for Large-Scale Sparse Recovery
Stochastic Mirror Descent for Large-Scale Sparse Recovery
Sasila Ilandarideva
Yannis Bekri
A. Juditsky
Vianney Perchet
30
1
0
23 Oct 2022
Convergence of the mini-batch SIHT algorithm
Convergence of the mini-batch SIHT algorithm
S. Damadi
Jinglai Shen
19
2
0
29 Sep 2022
Scaled minimax optimality in high-dimensional linear regression: A
  non-convex algorithmic regularization approach
Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach
M. Ndaoud
36
11
0
27 Aug 2020
High Dimensional Robust $M$-Estimation: Arbitrary Corruption and Heavy
  Tails
High Dimensional Robust MMM-Estimation: Arbitrary Corruption and Heavy Tails
L. Liu
Tianyang Li
Constantine Caramanis
21
14
0
24 Jan 2019
High Dimensional Robust Sparse Regression
High Dimensional Robust Sparse Regression
L. Liu
Yanyao Shen
Tianyang Li
Constantine Caramanis
12
71
0
29 May 2018
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