Publicacións en colaboración con investigadores/as de University of Southern California (6)

2024

  1. A note on quadratic constraints with indicator variables: Convex hull description and perspective relaxation

    Operations Research Letters, Vol. 52

  2. On the convex hull of convex quadratic optimization problems with indicators

    Mathematical Programming, Vol. 204, Núm. 1-2, pp. 703-737

2023

  1. Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy

    AIES 2023 - Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society

  2. Multi-BOWS: multi-fidelity multi-objective Bayesian optimization with warm starts for nanophotonic structure design

    Digital Discovery, Vol. 3, Núm. 2, pp. 381-391

2021

  1. Scalable Inference of Sparsely-changing Gaussian Markov Random Fields

    Advances in Neural Information Processing Systems

2020

  1. Safe screening rules for 0-regression from perspective relaxations

    37th International Conference on Machine Learning, ICML 2020