3 citations · 7 across the 3 of their papers we have counts for
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cs.LG2022★ 2 cited
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem
Breno Serrano, Stefan Minner, Maximilian Schiffer +1
We study the feature-based newsvendor problem, in which a decision-maker has access to historical data consisting of demand observations and exogenous features. In this setting, we…
cs.LG2022★ 3 cited
Support Vector Machines with the Hard-Margin Loss: Optimal Training via Combinatorial Benders' Cuts
Ítalo Santana, Breno Serrano, Maximilian Schiffer +1
The classical hinge-loss support vector machines (SVMs) model is sensitive to outlier observations due to the unboundedness of its loss function. To circumvent this issue, recent s…