Research interests

Software

Datasets

  1. Unit commitment problems (12 periods, 5 plants w/o startup costs, 5 plants w/ startup costs)
  2. Randomly generated problems (with bin packing (BP), multi-knapsack (MKN), set covering (SC), and equality (EQ) constraints). Each dataset contains problems that only have two types of constraints among the listed constraints.
    • BPEQ - Training set (25 problems): Download
    • BPEQ - Test set (50 problems): Download
    • BPSC - Training set (25 problems): Download
    • BPSC - Test set (50 problems): Download
    • MKNSC - Training set (25 problems): Download
    • MKNSC - Test set (50 problems): Download

Publications

You can also consult ORBi repository to access all publications from ULg.

  1. Full Text A Machine Learning-Based Approximation of Strong Branching
    Marcos Alvarez, Alejandro; Louveaux, Quentin; Wehenkel, Louis
    in INFORMS Journal on Computing (2017), 29(1), 185-195
  2. Full Text Computational and Theoretical Synergies between Linear Optimization and Supervised Machine Learning
    Marcos Alvarez, Alejandro
    Doctoral thesis (2016)
  3. Full Text Nonparametric control charts: economic statistical design
    Marcos Alvarez, Alejandro; Heuchenne, Cédric; Faraz, Alireza
    E-print/Working paper (2016)
  4. Full Text Online Learning for Strong Branching Approximation in Branch-and-Bound
    Marcos Alvarez, Alejandro; Wehenkel, Louis; Louveaux, Quentin
    E-print/Working paper (2016)
  5. Full Text Machine Learning to Balance the Load in Parallel Branch-and-Bound
    Marcos Alvarez, Alejandro; Wehenkel, Louis; Louveaux, Quentin
    E-print/Working paper (2015)
  6. Full Text Economic statistical design of nonparametric control charts
    Marcos Alvarez, Alejandro
    Master's dissertation (2014)
  7. Full Text On-the-fly domain adaptation of binary classifiers
    Pierard, Sébastien; Marcos Alvarez, Alejandro; Lejeune, Antoine; Van Droogenbroeck, Marc
    in 23rd Belgian-Dutch Conference on Machine Learning (BENELEARN) (2014, June 06)
  8. Full Text A Supervised Machine Learning Approach to Variable Branching in Branch-And-Bound
    Marcos Alvarez, Alejandro; Louveaux, Quentin; Wehenkel, Louis
    E-print/Working paper (2014)
  9. Full Text Exploiting Socially-Generated Side Information in Dimensionality Reduction
    Marcos Alvarez, Alejandro; Yamada, Makoto; Kimura, Akisato
    in Proceedings of the 2nd International Workshop on Socially-Aware Multimedia (2013, October)
  10. Full Text Clustering-Based Anomaly Detection in Multi-View Data
    Marcos Alvarez, Alejandro; Yamada, Makoto; Kimura, Akisato; Iwata, Tomoharu
    in Proceedings of the 22nd International Conference on Information and Knowledge Management (2013, October)
  11. Full Text Image Context Discovery from Socially Curated Contents
    Kimura, Akisato; Ishiguro, Katsuhiko; Marcos Alvarez, Alejandro; Kataoka, Kaori; Murasaki, Kazuhiko; Yamada, Makoto
    in Proceedings of the 21st ACM International Conference on Multimedia (2013, October)
  12. Full Text Supervised learning to tune simulated annealing for in silico protein structure prediction
    Marcos Alvarez, Alejandro; Maes, Francis; Wehenkel, Louis
    in Verleysen, Michel (Ed.) ESANN 2012 proceedings, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (2012, April 25)
  13. Full Text Supervised learning to tune simulated annealing for in silico protein structure prediction
    Marcos Alvarez, Alejandro
    Poster (2012, February 21)
  14. Full Text Prédiction de structures de macromolécules par apprentissage automatique
    Marcos Alvarez, Alejandro
    Master's dissertation (2011)