Victor Veitch

victor@utstat.toronto.edu

I am a PhD candidate in the Department of Statistical Sciences at the University of Toronto working in the group of Daniel Roy. I am interested in the theory and application of machine learning and statistical inference, with a particular focus on Bayesian non-parametrics and random networks.

Other recent interests include privacy, causal inference, information theory, and quantum information theory.

News and Travel

  • New preprint on sampling and estimation for sparse exchangeable random graphs
  • I'll be speaking at the Hausdorff Summer School "Large random graphs: geometry and applications" in April
  • I'll be speaking at Bayesian Inference in Stochastic Processes at Bocconi University in June

Curriculum Vitae

Web