Xenia Miscouridou

Xenia Miscouridou

Statistical Machine Learning, Deep Generative Models, Bayesian Random Graphs

I am a PhD student supervised by François Caron and Yee Whye Teh. I am interested in Statistical Machine Learning with current focus on Bayesian Nonparametric random graph models and Deep Generative Models.

Previously, I completed a BSc in Mathematics at Imperial College London and a master in Mathematical Statistics (Part III) at the University of Cambridge.

Publications

2020

  • M. Willetts , X. Miscouridou , S. Roberts , C. Holmes , Relaxed-Responsibility Hierarchical Discrete VAEs, arXiv preprint, 2020.

2018

  • X. Miscouridou , F. Caron , Y. W. Teh , Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data, in Advances in Neural Information Processing Systems (NeurIPS), 2018.
    Project: bigbayes
  • X. Miscouridou , A. Perotte , N. Elhadad , R. Ranganath , Deep Survival Analysis: Nonparametrics and Missingness, in pmlr, 2018.
    Project: bigbayes

2017

  • A. Todeschini , X. Miscouridou , F. Caron , Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities, Aug-2017.
    Project: bigbayes

Software

2017

  • A. Todeschini , X. Miscouridou , F. Caron , SNetOC. 2017.
    Project: bigbayes