2 papers
cs.LG2026
Efficient Logistic Regression with Mixture of Sigmoids
Federico Di Gennaro, Saptarshi Chakraborty, Nikita Zhivotovskiy
This paper studies the Exponential Weights (EW) algorithm with an isotropic Gaussian prior for online logistic regression. We show that the near-optimal worst-case regret bound $O(…
cs.LG2025
Controlled Model Debiasing through Minimal and Interpretable Updates
Federico Di Gennaro, Thibault Laugel, Vincent Grari +1
Traditional approaches to learning fair machine learning models often require rebuilding models from scratch, typically without considering potentially existing models. In a contex…