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MP
2016
10 years 3 months 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 3 months 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 3 months 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 3 months 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