Maria Skoularidou

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 9

Top Topics

Bayesian Inference

Hyperparameters

Statistical Disclosure Control

Top Venues

IEEE Trans. Inf. Theory

Publications

Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang
Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI. CoRR (2024)
Ioannis Papageorgiou, Ioannis Kontoyiannis, Lambros Mertzanis, Athina Panotopoulou, Maria Skoularidou
Revisiting Context-Tree Weighting for Bayesian Inference. ISIT (2021)
Ioannis Kontoyiannis, Lambros Mertzanis, Athina Panotopoulou, Ioannis Papageorgiou, Maria Skoularidou
Bayesian Context Trees: Modelling and exact inference for discrete time series. CoRR (2020)
Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Modeling Tabular data using Conditional GAN. CoRR (2019)
Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Modeling Tabular data using Conditional GAN. NeurIPS (2019)
Lambros Mertzanis, Athina Panotopoulou, Maria Skoularidou, Ioannis Kontoyiannis
Deep Tree Models for 'Big' Biological Data. SPAWC (2018)
Nick Heard, Konstantina Palla, Maria Skoularidou
Topic modelling of authentication events in an enterprise computer network. ISI (2016)
Ioannis Kontoyiannis, Maria Skoularidou
Estimating the Directed Information and Testing for Causality. IEEE Trans. Inf. Theory 62 (11) (2016)
Ioannis Kontoyiannis, Maria Skoularidou
Estimating the Directed Information and Testing for Causality. CoRR (2015)