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Valerio Perrone

I am a third year PhD student in Statistics at the Oxford-Warwick Statistics Programme (OxWaSP), working under the joint supervision of Professor Yee Whye Teh (Oxford), Dr. Dario Spanò (Warwick) and Dr. Paul Jenkins (Warwick). I am also part of the Oxford statistical machine learning group (OxCSML).

My research interests lie in the fields of Bayesian machine learning and deep learning. In particular, I am interested in developing algorithms for large scale machine learning and Bayesian nonparametric models with dependency structures. I have applied my work to text analysis, recommender systems and population genetics.


I am currently at Amazon, Berlin, as an Applied Scientist Intern.


  • X. Lu*, V. Perrone*, L. Hasenclever, Y. W. Teh, S. J. Vollmer, Relativistic Monte Carlo, in Artificial Intelligence and Statistics (AISTATS), 2017 [AISTATS] [BDL] [arxiv] [code](Video clip) *joint first author
  • V. Perrone, P. A. Jenkins, D. Spano, Y. W. Teh, Poisson Random Fields for Dynamic Feature Models, 2016 [arxiv] [data]

Selected Talks & Posters


  • Term 2, 2017: Stochastic Processes (ST202)
  • Term 2, 2016: Probability Theory (ST318)
  • Term 1, 2015: Mathematical Statistics Part A (ST218)



  • v dot perrone at warwick dot ac dot uk
  • valerio dot perrone at mpls dot ox dot ac dot uk

(PDF Document) Curriculum Vitae

Google Scholar


Office No. D0.06
Department of Statistics
University of Warwick
CV4 7AL, Coventry (UK)