Irene Córdoba Sánchez

irene_cordoba

Contact

Phone: +34-910673093

E-mail: irene.cordoba (the symbol) upm.es

Regular mail:

  • Laboratorio 5006
  • Escuela Técnica Superior de Ingenieros Informáticos
  • Campus de Montegancedo S/N
  • 28660 Boadilla del Monte, Madrid, España

Position

Ph.D. student at the UPM's artificial intelligence department, supported by the Spanish Ministry of Education, Culture and Sport (FPU15/03797).

Short Bio

Irene Córdoba recieved her B.Sc. degree in Computer Engineering and her B.Sc. in Mathematics from the Universidad Autónoma de Madrid in 2014. She obtained a M.Sc. degree in Artificial Intelligence from the Universidad Politécnica de Madrid in 2015. She has worked as a post-graduate researcher at the CASI-CAM-CM project from 2015 to 2016.

Research interests

Gaussian graphical models, specially Bayesian and Markov networks.

Journal articles

  • Sparse Cholesky covariance parametrization for recovering latent structure in ordered data
    I. Córdoba, C. Bielza, P. Larrañaga and G. Varando
    Submitted, 2020.
  • On generating random Gaussian graphical models
    I. Córdoba, G. Varando, C. Bielza and P. Larrañaga
    Submitted, 2020.
  • A review of Gaussian Markov models for conditional independence
    I. Córdoba, C. Bielza and P. Larrañaga
    Journal of Statistical Planning and Inference, 206:127-144, 2020.

Conference articles

  • A fast Metropolis-Hastings method for generating random correlation matrices
    I. Córdoba, G.Varando, C. Bielza and P. Larrañaga
    Lecture Notes in Computer Science (IDEAL 2018), 11314:117-124, 2018.
  • A partial orthogonalization method for simulating covariance and concentration graph matrices
    I. Córdoba, G.Varando, C. Bielza and P. Larrañaga
    Proceedings of Machine Learning Research (PGM 2018), 72:61-72, 2018.
    [BayesFusion best student paper award]
  • Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks
    I. Córdoba, E.C. Garrido-Merchán, D. Hernández-Lobato, C. Bielza and P. Larrañaga
    Lecture Notes in Artificial Intelligence (CAEPIA 2018), 11160:44:54, 2018.
  • Towards Gaussian Bayesian network fusion
    I. Córdoba-Sánchez, C. Bielza and P. Larrañaga
    Lecture Notes in Artificial Intelligence (ECSQARU 2015), 9161:519-528, 2015.

Software

  • gmat: R package for sampling covariance and concentration graph matrices.