most citedStochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training

2 citations · 2 across the 1 of their papers we have counts for

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2 papers

math.OC2019★ 2 cited

Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training

Paul Grigas, Alfonso Lobos, Nathan Vermeersch

The Frank-Wolfe method and its extensions are well-suited for delivering solutions with desirable structural properties, such as sparsity or low-rank structure. We introduce a new…

math.OC2017

Profit Maximization for Online Advertising Demand-Side Platforms

Paul Grigas, Alfonso Lobos, Zheng Wen +1

We develop an optimization model and corresponding algorithm for the management of a demand-side platform (DSP), whereby the DSP aims to maximize its own profit while acquiring val…