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1911.03548
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Variance Reduced Stochastic Proximal Algorithm for AUC Maximization
8 November 2019
Soham Dan
Dushyant Sahoo
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Papers citing
"Variance Reduced Stochastic Proximal Algorithm for AUC Maximization"
14 / 14 papers shown
Title
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence
Yi Tian Xu
Qi Qi
Qihang Lin
Rong Jin
Tianbao Yang
63
42
0
28 Nov 2018
Stochastic Variance Reduction Methods for Saddle-Point Problems
B. Palaniappan
Francis R. Bach
119
214
0
20 May 2016
Support Vector Algorithms for Optimizing the Partial Area Under the ROC Curve
Harikrishna Narasimhan
S. Agarwal
32
39
0
13 May 2016
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning
Francesco Orabona
140
103
0
15 Jun 2014
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
156
739
0
19 Mar 2014
Stochastic Optimization for Machine Learning
Andrew Cotter
65
27
0
15 Aug 2013
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions
Purushottam Kar
Bharath K. Sriperumbudur
Prateek Jain
H. Karnick
71
113
0
11 May 2013
One-Pass AUC Optimization
Wei Gao
Rong Jin
Shenghuo Zhu
Zhi Zhou
98
185
0
07 May 2013
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method
Simon Lacoste-Julien
Mark Schmidt
Francis R. Bach
180
260
0
10 Dec 2012
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
Shai Shalev-Shwartz
Tong Zhang
184
1,033
0
10 Sep 2012
On the Consistency of AUC Pairwise Optimization
Wei Gao
Zhi Zhou
117
124
0
03 Aug 2012
Projection-free Online Learning
Elad Hazan
Satyen Kale
105
248
0
18 Jun 2012
Smoothing Multivariate Performance Measures
Xinhua Zhang
Ankan Saha
S.V.N. Vishwanathan
72
44
0
14 Feb 2012
Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization
Alexander Rakhlin
Ohad Shamir
Karthik Sridharan
167
768
0
26 Sep 2011
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