Publications

You can also find my papers on Google Scholar.

2026

Fast Unlearning at Scale via Margin Self-Correction

F. Di Gennaro, A. Shevchenko, F. Yang

arXiv preprint, 2026

Paper </>Code
Teaser for Fast Unlearning at Scale via Margin Self-Correction

Hedging on the Frontier: Learning New Tasks with Few Samples

T. Wegel, F. Di Gennaro, G. So, F. Yang

International Conference on Machine Learning (ICML), Spotlight (top 2.2%), 2026

Paper </>Code
Teaser for Hedging on the Frontier: Learning New Tasks with Few Samples

Efficient Logistic Regression with Mixture of Sigmoids

F. Di Gennaro, S. Chakraborty, N. Zhivotovskiy

International Conference on Artificial Intelligence and Statistics (AISTATS), 2026

Paper </>Code
Teaser for Efficient Logistic Regression with Mixture of Sigmoids

2025

Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring

F. Di Gennaro, K. Eldowa, N. Cesa-Bianchi

Conference on Neural Information Processing Systems (NeurIPS), 2025

Paper

Controlled Model Debiasing through Minimal and Interpretable Updates

F. Di Gennaro, T. Laugel, V. Grari, M. Detyniecki

Transactions on Machine Learning Research (TMLR), 2025

Paper </>Code

2024

Post-processing fairness with minimal changes

F. Di Gennaro, T. Laugel, V. Grari, X. Renard, M. Detyniecki

ICML Workshop on Humans, Algorithmic Decision-Making and Society, 2024

Paper