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20102026
most citedDecision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities

118 citations

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8 papers · 1 filter

math.OC2025

Computing cone-constrained singular values of matrices

Giovanni Barbarino, Nicolas Gillis, David Sossa

This paper deals with the numerical computation of the least singular value of a rectangular matrix relative to a pair of closed convex cones , which is defined as the o…

math.OC2023

The MIP Workshop 2023 Computational Competition on Reoptimization

Suresh Bolusani, Mathieu Besançon, Ambros Gleixner +5

This paper describes the computational challenge developed for a computational competition held in 2023 for the anniversary of the Mixed Integer Programming Work…

math.OC2021★ 2 cited

Exact reliability optimization for series-parallel graphs using convex envelopes

Javiera Barrera, Eduardo Moreno, Gonzalo Muñoz +1

Given its wide spectrum of applications, the classical problem of all-terminal network reliability evaluation remains a highly relevant problem in network design. The associated op…

math.OC2021★ 1 cited

Convex envelopes for ray-concave functions

Javiera Barrera, Eduardo Moreno, Gonzalo Muñoz

Convexification based on convex envelopes is ubiquitous in the non-linear optimization literature. Thanks to considerable efforts of the optimization community for decades, we are…

math.OC2019

Well-posedness and nonsmooth Lyapunov pairs for state-dependent maximal monotone differential inclusions

Ba Khiet Le

In this paper, we introduce for the first time a class of state-dependent maximal monotone differential inclusions. Then the existence and uniqueness of solutions are obtained by u…

math.OC2018★ 3 cited

Characterizations of the subdifferential of convex integral functions under qualification conditions

Rafael Correa, Abderrahim Hantoute, Pedro Pérez-Aros

This work provides formulae for the -subdifferential of integral functions in the framework of complete -finite measure spaces and locally convex spaces. In this work we pres…