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most citedHOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

1.2k citations · 1.7k across the 60 of their papers we have counts for

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Showing 2014Show all

7 papers · 1 filter

math.OC2014★ 6 cited

PMU Placement for Line Outage Identification via Multiclass Logistic Regression

Taedong Kim, Stephen J. Wright

We consider the problem of identifying a single line outage in a power grid by using data from phasor measurement units (PMUs). When a line outage occurs, the voltage phasor of eac…

math.OC2014★ 2 cited

Sorting Network Relaxations for Vector Permutation Problems

Cong Han Lim, Stephen J. Wright

The Birkhoff polytope (the convex hull of the set of permutation matrices) is frequently invoked in formulating relaxations of optimization problems over permutations. The Birkhoff…

stat.OT2014★ 6 cited

Validating Sample Average Approximation Solutions with Negatively Dependent Batches

Jiajie Chen, Cong Han Lim, Peter Z. G. Qian +2

Sample-average approximations (SAA) are a practical means of finding approximate solutions of stochastic programming problems involving an extremely large (or infinite) number of s…

math.OC2014

An SLP-Active Set Approach for Feasibility Restoration in Power Systems

Taedong Kim, Stephen J. Wright

We consider power networks in which it is not possible to satisfy all loads at the demand nodes, due to some attack or disturbance to the network. We formulate a model, based on AC…

cs.DS2014★ 66 cited

Forward - Backward Greedy Algorithms for Atomic Norm Regularization

Nikhil Rao, Parikshit Shah, Stephen Wright

In many signal processing applications, the aim is to reconstruct a signal that has a simple representation with respect to a certain basis or frame. Fundamental elements of the ba…

math.OC2014★ 8 cited

Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties

Ji Liu, Stephen J. Wright

We describe an asynchronous parallel stochastic proximal coordinate descent algorithm for minimizing a composite objective function, which consists of a smooth convex function plus…