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Model Selection for SLOPE Models: A Bayesian Perspective
Fabio Feser, Marina Evangelou
Sorted Penalized Estimation (SLOPE) models, that perform either variable or group selection, control the false discovery rate (FDR) under orthogonal settings with known no…
Multi-view biclustering via non-negative matrix tri-factorisation
Ella S. C. Orme, Theodoulos Rodosthenous, Marina Evangelou
Multi-view data is ever more apparent as methods for production, collection and storage of data become more feasible both practically and fiscally. However, not all features are re…
Group Spike and Slab Variational Bayes
Michael Komodromos, Marina Evangelou, Sarah Filippi +1
We introduce Group Spike-and-slab Variational Bayes (GSVB), a scalable method for group sparse regression. A fast co-ordinate ascent variational inference (CAVI) algorithm is devel…