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1605.01656
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A Tight Bound of Hard Thresholding
5 May 2016
Jie Shen
Ping Li
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Papers citing
"A Tight Bound of Hard Thresholding"
33 / 33 papers shown
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Jin Zhu
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skscope: Fast Sparsity-Constrained Optimization in Python
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Jin Zhu
Peng Chen
Huiyang Peng
Xiaoke Zhang
Anran Wang
Yu Zheng
Junxian Zhu
Xueqin Wang
241
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27 Mar 2024
Dynamic Incremental Optimization for Best Subset Selection
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Xiaoning Qian
372
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04 Feb 2024
High-dimensional Linear Bandits with Knapsacks
International Conference on Machine Learning (ICML), 2023
Wanteng Ma
Dong Xia
Jiashuo Jiang
259
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02 Nov 2023
Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise
International Conference on Machine Learning (ICML), 2023
Shiwei Zeng
Jie Shen
386
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01 Jun 2023
Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression
Yinan Shen
Jingyang Li
Jian-Feng Cai
Dong Xia
352
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0
10 May 2023
Federated Gradient Matching Pursuit
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Halyun Jeong
Deanna Needell
Jing Qin
FedML
226
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0
20 Feb 2023
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity
Neural Information Processing Systems (NeurIPS), 2022
William de Vazelhes
Hualin Zhang
Huisi Wu
Xiao-Tong Yuan
Bin Gu
419
4
0
11 Oct 2022
Convergence of the mini-batch SIHT algorithm
Intelligent Systems with Applications (ISA), 2022
S. Damadi
Jinglai Shen
260
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0
29 Sep 2022
Robust Methods for High-Dimensional Linear Learning
Journal of machine learning research (JMLR), 2022
Ibrahim Merad
Stéphane Gaïffas
OOD
566
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0
10 Aug 2022
Best Subset Selection with Efficient Primal-Dual Algorithm
Shaogang Ren
Guanhua Fang
P. Li
152
1
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05 Jul 2022
List-Decodable Sparse Mean Estimation
Neural Information Processing Systems (NeurIPS), 2022
Shiwei Zeng
Jie Shen
302
11
0
28 May 2022
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Ziyang Zheng
Wenrui Dai
Duoduo Xue
Chenglin Li
Junni Zou
H. Xiong
333
24
0
25 Apr 2022
Stability and Risk Bounds of Iterative Hard Thresholding
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Xiao-Tong Yuan
P. Li
221
14
0
17 Mar 2022
On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise
International Conference on Machine Learning (ICML), 2020
Jie Shen
427
15
0
19 Dec 2020
Stochastic Hard Thresholding Algorithms for AUC Maximization
Zhenhuan Yang
Baojian Zhou
Yunwen Lei
Yiming Ying
270
3
0
04 Nov 2020
Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach
M. Ndaoud
299
13
0
27 Aug 2020
One-Bit Compressed Sensing via One-Shot Hard Thresholding
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
Jie Shen
261
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07 Jul 2020
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance
Jie Shen
Chicheng Zhang
451
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06 Jun 2020
Analysis and applications of the residual varentropy of random lifetimes
A. Di Crescenzo
L. Paolillo
80
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10 Mar 2020
Efficient active learning of sparse halfspaces with arbitrary bounded noise
Neural Information Processing Systems (NeurIPS), 2020
Chicheng Zhang
Jie Shen
Pranjal Awasthi
371
47
0
12 Feb 2020
Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization
Fanhua Shang
Bingkun Wei
Hongying Liu
Yuanyuan Liu
Jiacheng Zhuo
188
1
0
02 Dec 2019
Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space
Neural Information Processing Systems (NeurIPS), 2019
Shuo Yang
Yanyao Shen
Sujay Sanghavi
302
3
0
08 Nov 2019
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization
International Conference on Machine Learning (ICML), 2019
Baojian Zhou
F. Chen
Yiming Ying
221
7
0
09 May 2019
High Dimensional Robust
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-Estimation: Arbitrary Corruption and Heavy Tails
Liu Liu
Tianyang Li
Constantine Caramanis
338
14
0
24 Jan 2019
A Mean-Field Optimal Control Formulation of Deep Learning
Research in the Mathematical Sciences (Res. Math. Sci.), 2018
Weinan E
Jiequn Han
Qianxiao Li
OOD
324
207
0
03 Jul 2018
High Dimensional Robust Sparse Regression
Liu Liu
Yanyao Shen
Tianyang Li
Constantine Caramanis
450
75
0
29 May 2018
A Novel Framework for Online Supervised Learning with Feature Selection
Lizhe Sun
Yangzi Guo
Siquan Zhu
Adrian Barbu
719
13
0
30 Mar 2018
Fast Low-Rank Matrix Estimation without the Condition Number
Mohammadreza Soltani
Chinmay Hegde
261
10
0
08 Dec 2017
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding
Neural Information Processing Systems (NeurIPS), 2016
Lalit P. Jain
Kevin Jamieson
Robert D. Nowak
299
76
0
22 Jun 2016
Methods for Sparse and Low-Rank Recovery under Simplex Constraints
Ping Li
Syama Sundar Rangapuram
M. Slawski
291
19
0
02 May 2016
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