Latest news

  • March.

    Ph.D Open position

    Game-theoretical analysis of deep neural networks
    [Position has been filled!]

  • Jan.

    2 conference papers accepted @AISTAT21!

    Fairness for Edge Prediction [paper]

    Congestion games and Deep Learning [paper]

  • Jan.

    1 journal paper accepted @JAIR

    On robust recommendation and sequential learning
    [paper]

  • Dec.

    1 journal paper accepted @DAMI!

    On representation learning in recommendation systems
    [paper]

  • Sept.

    I'm one of the vice-president of the SSFAM

    The French Association on Machine Learning

Short bio

I'm an Associate Professor at Telecom Saint Etienne (Université de Lyon, France). I work at Hubert Curien Laboratory in the Data Intelligence team.

You can find more information in my CV or on my LinkedIn profile.

Research interests

My main line of research is in statistical machine learning. I am particularly interested in designing unsupervised (probabilistic) learning algorithms for high-dimensional data.

My current research focus includes:

  • representation learning for complex data
  • fairness in machine learning for relational data
  • unsupervised learning for high-dimensional data
  • unsupervised feature selection