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Ms Maria Skoularidou

Departments and Institutes

MRC Biostatistics Unit:

Research Interests

During my undergraduate studies in Informatics I was delighted to explore the essentials of information theory and theoretical computer science (algorithmic and Kolmogorov complexity, computability, asymptotic theory). Later, as postgraduate student I focused on Bayesian methods and applications. My fields of interest lie in Bayesian high-dimensional problems, mixture models, clustering and Machine Learning.

Keywords

High-dimensional Statistics ; Neural Networks ; Information theory ; Adaptive Learning ; Probabilistic Machine Learning ; Bayesian Inference ; Bayesian Machine Learning

Key Publications

1) Kontoyiannis, Ioannis, and Maria Skoularidou. "Estimating the directed information and testing for causality." IEEE Transactions on Information Theory 62.11 (2016): 6053-6067.

2) Heard, Nick, Konstantina Palla, and Maria Skoularidou. "Topic modelling of authentication events in an enterprise computer network." Intelligence and Security Informatics (ISI), 2016 IEEE Conference on. IEEE, 2016.