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Random Multi-Constraint Projection: Stochastic Gradient Methods for
  Convex Optimization with Many Constraints

Random Multi-Constraint Projection: Stochastic Gradient Methods for Convex Optimization with Many Constraints

12 November 2015
Mengdi Wang
Yichen Chen
Jialin Liu
Yuantao Gu
ArXiv (abs)PDFHTML

Papers citing "Random Multi-Constraint Projection: Stochastic Gradient Methods for Convex Optimization with Many Constraints"

2 / 2 papers shown
Title
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
153
576
0
08 Dec 2012
Information-theoretic lower bounds on the oracle complexity of
  stochastic convex optimization
Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization
Alekh Agarwal
Peter L. Bartlett
Pradeep Ravikumar
Martin J. Wainwright
202
251
0
03 Sep 2010
1