Learning with Combinatorial Optimization Layers: a Probabilistic Approach

27 July 2022

Papers citing "Learning with Combinatorial Optimization Layers: a Probabilistic Approach"

7 / 7 papers shown

Title
Primal-dual algorithm for contextual stochastic combinatorial optimization Louis Bouvier Thibault Prunet Vincent Leclère Axel Parmentier 35 0 0 07 May 2025
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers Anselm Paulus Georg Martius Vít Musil AI4CE 52 1 0 08 Jul 2024
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities Jayanta Mandi James Kotary Senne Berden Maxime Mulamba Víctor Bucarey Tias Guns Ferdinando Fioretto AI4CE 28 55 0 25 Jul 2023
Explainable Data-Driven Optimization: From Context to Decision and Back Again Alexandre Forel Axel Parmentier Thibaut Vidal 30 7 0 24 Jan 2023
Learning predictive checklists from continuous medical data Yukti Makhija E. Brouwer Rahul G. Krishnan 30 1 0 14 Nov 2022
Flexible Differentiable Optimization via Model Transformations Mathieu Besançon J. Garcia B. Legat Akshay Sharma 16 9 0 10 Jun 2022
Learning to solve the single machine scheduling problem with release times and sum of completion times Axel Parmentier V. T’kindt 33 7 0 04 Jan 2021