2 papers
eess.SP2026
Exploring Bounded Component Analysis Using an Norm Criterion
Renan D. B. Brotto, Kenji Nose-Filho, João M. T. Romano
In this paper we propose a new criterion for the Blind Source Separation (BSS) of antisparse bounded sources, based on the sum of the -norm of the sources. Based on th…
cs.LG2024
Debiasing Machine Learning Models by Using Weakly Supervised Learning
Renan D. B. Brotto, Jean-Michel Loubes, Laurent Risser +3
We tackle the problem of bias mitigation of algorithmic decisions in a setting where both the output of the algorithm and the sensitive variable are continuous. Most of prior work…