Fadhel Ayed

Fadhel Ayed

Bayesian nonparametrics, Machine Learning

I am Fadhel Ayed, a doctoral researcher in Statistical Machine Learning at the University of Oxford, advised by Prof. François Caron.

My primary research subject is statistical machine learning with Bayesian Nonparametric methods and models. I have been working on two main lines of research: 1) Methodological and theoretical properties of clustering and feature allocation models, with applications to language and network modeling; 2) Privacy preservation and disclosure risk limitation.

Since September 2019, I have been working part-time with the AWS forecasting team at Amazon Research. I am developing models for anomaly detection at the intersection of Bayesian Machine Learning and Deep learning.

Publications

2019

  • F. Ayed , F. Caron , Nonnegative Bayesian nonparametric factor models with completely random measures for community detection, 2019.
  • F. Ayed , J. Lee , F. Caron , Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with Double Power-law Behavior, 2019.

2018

  • F. Ayed , M. Battiston , F. Camerlenghi , S. Favaro , Consistent estimation of the missing mass for feature models, 2018.
    Project: bigbayes
  • F. Ayed , M. Battiston , F. Camerlenghi , S. Favaro , On the consistent estimation of the missing mass, 2018.
    Project: bigbayes
  • F. Ayed , M. Battiston , F. Camerlenghi , S. Favaro , On the Good-Turing estimator for feature allocation models, 2018.
    Project: bigbayes