A Tight Bound of Hard Thresholding

5 May 2016

Papers citing "A Tight Bound of Hard Thresholding"

14 / 14 papers shown

Title
Federated Gradient Matching Pursuit Halyun Jeong Deanna Needell Jing Qin FedML 37 1 0 20 Feb 2023
Convergence of the mini-batch SIHT algorithm S. Damadi Jinglai Shen 14 2 0 29 Sep 2022
Robust Methods for High-Dimensional Linear Learning Ibrahim Merad Stéphane Gaïffas OOD 50 3 0 10 Aug 2022
List-Decodable Sparse Mean Estimation Shiwei Zeng Jie Shen 22 9 0 28 May 2022
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks Ziyang Zheng Wenrui Dai Duoduo Xue Chenglin Li Junni Zou H. Xiong 44 17 0 25 Apr 2022
Stability and Risk Bounds of Iterative Hard Thresholding Xiao-Tong Yuan P. Li 39 12 0 17 Mar 2022
Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach M. Ndaoud 31 11 0 27 Aug 2020
Analysis and applications of the residual varentropy of random lifetimes A. Di Crescenzo L. Paolillo 9 15 0 10 Mar 2020
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization Baojian Zhou F. Chen Yiming Ying 29 7 0 09 May 2019
High Dimensional Robust $M$ -Estimation: Arbitrary Corruption and Heavy Tails L. Liu Tianyang Li C. Caramanis 21 14 0 24 Jan 2019
A Mean-Field Optimal Control Formulation of Deep Learning Weinan E Jiequn Han Qianxiao Li OOD 14 182 0 03 Jul 2018
High Dimensional Robust Sparse Regression L. Liu Yanyao Shen Tianyang Li C. Caramanis 12 71 0 29 May 2018
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding Lalit P. Jain Kevin G. Jamieson Robert D. Nowak 16 69 0 22 Jun 2016
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 93 737 0 19 Mar 2014