Emile Mathieu

Emile Mathieu

Bayesian nonparametrics, probabilistic inference, deep learning

I am a first year DPhil student of statistics at the University of Oxford supervised by Prof. Yee Whye Teh. Previously, I received a joint MSc. from Ecole des Ponts ParisTech and Ecole Normale Supérieure Paris-Saclay. My research interests lie in the fields of Bayesian nonparametric statistics and machine learning. I am currently interested in the intersection of probabilistic programing and Bayesian nonparametrics.



  • B. Bloem-Reddy , A. Foster , E. Mathieu , Y. W. Teh , Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks, in Conference on Uncertainty in Artificial Intelligence, 2018.


  • B. Bloem-Reddy , E. Mathieu , A. Foster , T. Rainforth , H. Ge , M. Lomelí , Z. Ghahramani , Y. W. Teh , Sampling and inference for discrete random probability measures in probabilistic programs, NIPS Workshop on Advances in Approximate Bayesian Inference, 2017.