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A Richer Theory of Convex Constrained Optimization with Reduced
  Projections and Improved Rates

A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates

11 August 2016
Tianbao Yang
Qihang Lin
Lijun Zhang
ArXivPDFHTML

Papers citing "A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates"

6 / 6 papers shown
Title
GBM-based Bregman Proximal Algorithms for Constrained Learning
GBM-based Bregman Proximal Algorithms for Constrained Learning
Zhenwei Lin
Qi Deng
31
1
0
21 Aug 2023
Federated Composite Optimization
Federated Composite Optimization
Honglin Yuan
Manzil Zaheer
Sashank J. Reddi
FedML
37
58
0
17 Nov 2020
Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than
  $O(1/ε)$
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
52
25
0
13 Jul 2016
Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its
  applications to linear convergence of first-order methods
Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods
Guoyin Li
Ting Kei Pong
105
292
0
09 Feb 2016
RSG: Beating Subgradient Method without Smoothness and Strong Convexity
RSG: Beating Subgradient Method without Smoothness and Strong Convexity
Tianbao Yang
Qihang Lin
32
84
0
09 Dec 2015
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
104
572
0
08 Dec 2012
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