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MP
2016
10 years 25 days ago
Stochastic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm
We improve a recent guarantee of Bach and Moulines on the linear convergence of SGD for smooth and strongly convex objectives, reducing a quadratic dependence on the strong convex...
Deanna Needell, Nathan Srebro, Rachel Ward
MP
2016
10 years 25 days ago
Error bounds for mixed integer linear optimization problems
We introduce computable a-priori and a-posteriori error bounds for optimality and feasibility of a point generated as the rounding of an optimal point of the LP relaxation of a mi...
Oliver Stein
MP
2016
10 years 25 days ago
Solving variational inequalities with monotone operators on domains given by Linear Minimization Oracles
The standard algorithms for solving large-scale convex-concave saddle point problems, or, more generally, variational inequalities with monotone operators, are proximal type algor...
Anatoli Juditsky, Arkadi Nemirovski
MP
2016
10 years 25 days ago
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
We introduce a proximal version of the stochastic dual coordinate ascent method and show how to accelerate the method using an inner-outer iteration procedure. We analyze the runt...
Shai Shalev-Shwartz, Tong Zhang 0001