Posts by Collection

portfolio

dfr R package

An R package to fit sparse-group lasso (SGL) models using the dual feature reduction (DFR) approach.

publications

Strong screening rules for group-based SLOPE models

Released in 2024

This paper presents strong screening rules for group SLOPE and sparse-group SLOPE. Accepted at AISTATS 25.

Recommended citation: Fabio Feser and Marina Evangelou (2025). "Strong screening rules for group-based SLOPE models". AISTATS 25, PMLR 258:352-360, 2025.
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Dual feature reduction for the sparse-group lasso and its adaptive variant

Released in 2024

This paper presents a new feature reduction approach for the sparse-group lasso and adaptive sparse-group lasso, called Dual Feature Reduction (DFR). Accepted at ICML 25.

Recommended citation: Fabio Feser and Marina Evangelou (2024). "Dual feature reduction for the sparse-group lasso and its adaptive variant". arXiv preprint arXiv:2405.17094.
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talks

Controlling the FDR in high-dimensional settings

Published:

Gave a talk on approaches for controlling the false-discovery rate (FDR) under high-dimensional settings. The talk was given to the Mary Lister scholars at Imperial College.

Disease prediction using pathway information

Published:

Presented a lecture on using penalised regression to perform disease prediction, as part of the Statistical Genetics module on the MSc Statistics at Imperial College.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.