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Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization

Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization

22 November 2013
Xiao-Tong Yuan
Ping Li
Tong Zhang
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Papers citing "Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization"

14 / 14 papers shown
Title
Resource Constrained Model Compression via Minimax Optimization for
  Spiking Neural Networks
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks
Jue Chen
Huan Yuan
Jianchao Tan
Bin Chen
Chengru Song
Di Zhang
25
3
0
09 Aug 2023
Stability and Risk Bounds of Iterative Hard Thresholding
Stability and Risk Bounds of Iterative Hard Thresholding
Xiao-Tong Yuan
P. Li
37
12
0
17 Mar 2022
A Data-Driven Line Search Rule for Support Recovery in High-dimensional
  Data Analysis
A Data-Driven Line Search Rule for Support Recovery in High-dimensional Data Analysis
Peili Li
Yuling Jiao
Xiliang Lu
Lican Kang
33
2
0
21 Nov 2021
Infinite Feature Selection: A Graph-based Feature Filtering Approach
Infinite Feature Selection: A Graph-based Feature Filtering Approach
Giorgio Roffo
Simone Melzi
U. Castellani
Alessandro Vinciarelli
Marco Cristani
30
107
0
15 Jun 2020
Discrimination-aware Network Pruning for Deep Model Compression
Discrimination-aware Network Pruning for Deep Model Compression
Jing Liu
Bohan Zhuang
Zhuangwei Zhuang
Yong Guo
Junzhou Huang
Jin-Hui Zhu
Mingkui Tan
CVBM
19
119
0
04 Jan 2020
A Robust AUC Maximization Framework with Simultaneous Outlier Detection
  and Feature Selection for Positive-Unlabeled Classification
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification
Ke Ren
Haichuan Yang
Yu Zhao
Mingshan Xue
Hongyu Miao
Shuai Huang
Ji Liu
AI4TS
19
29
0
18 Mar 2018
On The Projection Operator to A Three-view Cardinality Constrained Set
On The Projection Operator to A Three-view Cardinality Constrained Set
Haichuan Yang
Shupeng Gui
Chuyang Ke
Daniel Stefankovic
R. Fujimaki
Ji Liu
10
0
0
21 Mar 2017
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to
  Non-smooth Concave Maximization
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization
Bo Liu
Xiaotong Yuan
Lezi Wang
Qingshan Liu
Dimitris N. Metaxas
16
16
0
01 Mar 2017
Fast Algorithms for Demixing Sparse Signals from Nonlinear Observations
Fast Algorithms for Demixing Sparse Signals from Nonlinear Observations
Mohammadreza Soltani
C. Hegde
24
29
0
03 Aug 2016
Training Skinny Deep Neural Networks with Iterative Hard Thresholding
  Methods
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods
Xiaojie Jin
Xiao-Tong Yuan
Jiashi Feng
Shuicheng Yan
13
78
0
19 Jul 2016
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
Song Han
Jeff Pool
Sharan Narang
Huizi Mao
Enhao Gong
...
Peter Vajda
Manohar Paluri
J. Tran
Bryan Catanzaro
W. Dally
CVBM
27
83
0
15 Jul 2016
Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via
  Thresholded Wirtinger Flow
Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow
T. Tony Cai
Xiaodong Li
Zongming Ma
26
232
0
10 Jun 2015
High Dimensional Expectation-Maximization Algorithm: Statistical
  Optimization and Asymptotic Normality
High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality
Zhaoran Wang
Quanquan Gu
Y. Ning
Han Liu
41
53
0
30 Dec 2014
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
Prateek Jain
Ambuj Tewari
Purushottam Kar
9
227
0
20 Oct 2014
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