11 citations · 51 across the 24 of their papers we have counts for
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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…
cs.LG2019★ 3 cited
Generalization Bounds in the Predict-then-Optimize Framework
Othman El Balghiti, Adam N. Elmachtoub, Paul Grigas +1
The predict-then-optimize framework is fundamental in many practical settings: predict the unknown parameters of an optimization problem, and then solve the problem using the predi…