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1607.01027
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Accelerate Stochastic Subgradient Method by Leveraging Local Growth Condition
4 July 2016
Yi Tian Xu
Qihang Lin
Tianbao Yang
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Papers citing
"Accelerate Stochastic Subgradient Method by Leveraging Local Growth Condition"
6 / 6 papers shown
Title
Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD
Marten van Dijk
Lam M. Nguyen
Phuong Ha Nguyen
Dzung Phan
28
6
0
09 Oct 2018
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks
Jinghui Chen
Dongruo Zhou
Yiqi Tang
Ziyan Yang
Yuan Cao
Quanquan Gu
ODL
13
192
0
18 Jun 2018
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
124
1,198
0
16 Aug 2016
Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than
O
(
1
/
ε
)
O(1/ε)
O
(
1/
ε
)
Yi Tian Xu
Yan Yan
Qihang Lin
Tianbao Yang
44
25
0
13 Jul 2016
Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods
Guoyin Li
Ting Kei Pong
102
288
0
09 Feb 2016
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
76
736
0
19 Mar 2014
1