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