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.

Pre-prints

  • Generating random Gaussian graphical models arXiv

Journal articles

  • 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. arXiv
  • Ann: A domain-specific language for the effective design and validation of Java annotations
    I. Córdoba-Sánchez and J. Lara
    Computer Languages, Systems and Structures, 45:164-190, 2016. arXiv

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. arXiv Code
  • 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. arXiv Code
    [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. arXiv Code
  • Towards Gaussian Bayesian network fusion
    I. Córdoba-Sánchez, C. Bielza and P. Larrañaga
    Lecture Notes in Artificial Intelligence (ECSQARU 2015), 9161:519-528, 2015. arXiv Code
  • A modelling language for the effective design of Java annotations
    I. Córdoba and J. Lara
    Proceedings of the 30th Annual ACM Symposium on Applied Computing (SAC 2015), 2087-2092, 2015. arXiv

Theses

  • Fusión de redes Bayesianas Gaussianas
    I. Córdoba Sánchez (supervised by C. Bielza and P. Larrañaga)
    Masters thesis, Artificial Intelligence Department, Universidad Politécnica de Madrid, 2015. PDF Code
  • Un lenguaje de modelado para la creación de anotaciones Java
    I. Córdoba Sánchez (supervised by J. de Lara)
    Bachelors thesis, Computer Engineering Department, Universidad Autónoma de Madrid, 2014. PDF

Teaching

All practical classes at the Universidad Politécnica de Madrid (Spain)

Currently (course 2019/2020)

  • Statistics I. 10 hours
  • Operations Research. 14 hours

Course 2018/2019

  • Operations Research. 20 hours

Course 2017/2018

  • Probability and Statistics I. 21 hours
  • Operations Research. 19 hours
  • Discrete Event Simulation. 10 hours

Software

  • gmat: R package for sampling covariance and concentration graph matrices. Documentation Repository
  • ggmexp: R package for experiments of Gaussian graphical models. Repository

Other activities

  • ICML AutoML 2019 Workshop PC member
  • ICML AutoML 2018 Workshop PC member
  • Soft Computing journal reviewer