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Ecole: A Library for Learning Inside MILP Solvers


Apr 06, 2021
Antoine Prouvost, Justin Dumouchelle, Maxime Gasse, Didier Chételat, Andrea Lodi


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Learning to Schedule Heuristics in Branch-and-Bound


Mar 18, 2021
Antonia Chmiela, Elias B. Khalil, Ambros Gleixner, Andrea Lodi, Sebastian Pokutta


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Heuristics for optimizing 3D mapping missions over swarm-powered ad hoc clouds


Mar 11, 2021
Leandro R. Costa, Daniel Aloise, Luca G. Gianoli, Andrea Lodi


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Combinatorial optimization and reasoning with graph neural networks


Feb 18, 2021
Quentin Cappart, Didier ChĂ©telat, Elias Khalil, Andrea Lodi, Christopher Morris, Petar Veličković


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Predicting the probability distribution of bus travel time to move towards reliable planning of public transport services


Feb 03, 2021
LĂ©a Ricard, Guy Desaulniers, Andrea Lodi, Louis-Martin Rousseau

* Technical report 

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Can Machine Learning Help in Solving Cargo Capacity Management Booking Control Problems?


Jan 29, 2021
Justin Dumouchelle, Emma Frejinger, Andrea Lodi


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Estimating the Impact of an Improvement to a Revenue Management System: An Airline Application


Jan 13, 2021
Greta Laage, Emma Frejinger, William L. Hamilton, Andrea Lodi, Guillaume Rabusseau


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Stochastic Damped L-BFGS with Controlled Norm of the Hessian Approximation


Dec 10, 2020
Sanae Lotfi, Tiphaine Bonniot de Ruisselet, Dominique Orban, Andrea Lodi

* 14 pages, 4 figures 

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Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers


Nov 24, 2020
Antoine Prouvost, Justin Dumouchelle, Lara Scavuzzo, Maxime Gasse, Didier Chételat, Andrea Lodi

* Published at the 1st Workshop on Learning Meets Combinatorial Algorithms @ NeurIPS 2020, Vancouver, Canada 

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Change Point Detection by Cross-Entropy Maximization


Sep 02, 2020
Aurélien Serre, Didier Chételat, Andrea Lodi

* Preprint 

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Hybrid Models for Learning to Branch


Jun 26, 2020
Prateek Gupta, Maxime Gasse, Elias B. Khalil, M. Pawan Kumar, Andrea Lodi, Yoshua Bengio

* Preprint. Under review 

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Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies


Feb 12, 2020
Giulia Zarpellon, Jason Jo, Andrea Lodi, Yoshua Bengio


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A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs


Dec 17, 2019
Yoshua Bengio, Emma Frejinger, Andrea Lodi, Rahul Patel, Sriram Sankaranarayanan


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JANOS: An Integrated Predictive and Prescriptive Modeling Framework


Nov 21, 2019
David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind U. Raghunathan

* 12 pages, 3 figures 

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Learning chordal extensions


Oct 16, 2019
Defeng Liu, Andrea Lodi, Mathieu Tanneau

* Submitted to Journal of Global Optimization 

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Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location


Jul 12, 2019
Andrea Lodi, Luca Mossina, Emmanuel Rachelson


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Exact Combinatorial Optimization with Graph Convolutional Neural Networks


Jun 07, 2019
Maxime Gasse, Didier Chételat, Nicola Ferroni, Laurent Charlin, Andrea Lodi


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Activation Adaptation in Neural Networks


Jan 28, 2019
Farnoush Farhadi, Vahid Partovi Nia, Andrea Lodi


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Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information


Jan 22, 2019
Eric Larsen, SĂ©bastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien, Andrea Lodi

* arXiv admin note: substantial text overlap with arXiv:1807.11876 

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Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon


Nov 15, 2018
Yoshua Bengio, Andrea Lodi, Antoine Prouvost


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Predicting Solution Summaries to Integer Linear Programs under Imperfect Information with Machine Learning


Sep 12, 2018
Eric Larsen, SĂ©bastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien, Andrea Lodi


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Learning to rank for censored survival data


Jun 08, 2018
Margaux Luck, Tristan Sylvain, Joseph Paul Cohen, Heloise Cardinal, Andrea Lodi, Yoshua Bengio


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An ILP Solver for Multi-label MRFs with Connectivity Constraints


Mar 20, 2018
Ruobing Shen, Eric Kendinibilir, Ismail Ben Ayed, Andrea Lodi, Andrea Tramontani, Gerhard Reinelt

* 19 pages 

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Deep Learning for Patient-Specific Kidney Graft Survival Analysis


May 29, 2017
Margaux Luck, Tristan Sylvain, HĂ©loĂŻse Cardinal, Andrea Lodi, Yoshua Bengio


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