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1410.5137
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On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
20 October 2014
Prateek Jain
Ambuj Tewari
Purushottam Kar
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Papers citing
"On Iterative Hard Thresholding Methods for High-dimensional M-Estimation"
32 / 32 papers shown
Title
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Gradient Descent Converges Linearly for Logistic Regression on Separable Data
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26 Jun 2023
Slow Kill for Big Data Learning
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Jianhui Shen
Adrian Barbu
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Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning
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Yichen Wang
Linjun Zhang
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Understanding Best Subset Selection: A Tale of Two C(omplex)ities
Saptarshi Roy
Ambuj Tewari
Ziwei Zhu
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16 Jan 2023
Stochastic Mirror Descent for Large-Scale Sparse Recovery
Sasila Ilandarideva
Yannis Bekri
A. Juditsky
Vianney Perchet
25
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23 Oct 2022
Convergence of the mini-batch SIHT algorithm
S. Damadi
Jinglai Shen
14
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29 Sep 2022
Robust Methods for High-Dimensional Linear Learning
Ibrahim Merad
Stéphane Gaïffas
OOD
50
3
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10 Aug 2022
Stability and Risk Bounds of Iterative Hard Thresholding
Xiao-Tong Yuan
P. Li
39
12
0
17 Mar 2022
AGGLIO: Global Optimization for Locally Convex Functions
Debojyoti Dey
B. Mukhoty
Purushottam Kar
14
2
0
06 Nov 2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach
Yue Yu
Tian Gao
Naiyu Yin
Q. Ji
CML
30
59
0
14 Jun 2021
Learnable Embedding Sizes for Recommender Systems
Siyi Liu
Chen Gao
Yihong Chen
Depeng Jin
Yong Li
61
83
0
19 Jan 2021
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds
T. Tony Cai
Yichen Wang
Linjun Zhang
FedML
43
20
0
08 Nov 2020
Best subset selection is robust against design dependence
Yongyi Guo
Ziwei Zhu
Jianqing Fan
13
7
0
03 Jul 2020
Depth Descent Synchronization in
S
O
(
D
)
\mathrm{SO}(D)
SO
(
D
)
Tyler Maunu
Gilad Lerman
MDE
37
2
0
13 Feb 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
M
M
-Estimation: Arbitrary Corruption and Heavy Tails
L. Liu
Tianyang Li
C. Caramanis
21
14
0
24 Jan 2019
Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points
Krishnakumar Balasubramanian
Saeed Ghadimi
ODL
14
100
0
17 Sep 2018
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
Amirali Aghazadeh
Ryan Spring
Daniel LeJeune
Gautam Dasarathy
Anshumali Shrivastava
Richard G. Baraniuk
10
32
0
12 Jun 2018
High Dimensional Robust Sparse Regression
L. Liu
Yanyao Shen
Tianyang Li
C. Caramanis
12
71
0
29 May 2018
Non-convex Optimization for Machine Learning
Prateek Jain
Purushottam Kar
33
479
0
21 Dec 2017
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery
Tyler Maunu
Teng Zhang
Gilad Lerman
24
63
0
13 Jun 2017
Guarantees for Greedy Maximization of Non-submodular Functions with Applications
Yatao Bian
J. M. Buhmann
Andreas Krause
Sebastian Tschiatschek
23
236
0
06 Mar 2017
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
18
16
0
01 Mar 2017
On Context-Dependent Clustering of Bandits
Claudio Gentile
Shuai Li
Purushottam Kar
Alexandros Karatzoglou
Evans Etrue
Giovanni Zappella
15
138
0
06 Aug 2016
Fast Algorithms for Demixing Sparse Signals from Nonlinear Observations
Mohammadreza Soltani
C. Hegde
27
29
0
03 Aug 2016
Nearly-optimal Robust Matrix Completion
Yeshwanth Cherapanamjeri
Kartik Gupta
Prateek Jain
41
100
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23 Jun 2016
Stochastic gradient descent methods for estimation with large data sets
Dustin Tran
Panos Toulis
E. Airoldi
12
14
0
22 Sep 2015
Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow
T. Tony Cai
Xiaodong Li
Zongming Ma
29
232
0
10 Jun 2015
Robust Regression via Hard Thresholding
Kush S. Bhatia
Prateek Jain
Purushottam Kar
AAML
OOD
13
156
0
08 Jun 2015
Convergence radius and sample complexity of ITKM algorithms for dictionary learning
Karin Schnass
38
39
0
24 Mar 2015
Fast, Robust and Non-convex Subspace Recovery
Gilad Lerman
Tyler Maunu
38
77
0
24 Jun 2014
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