6 citations · 11 across the 3 of their papers we have counts for
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cs.LG2020★ 2 cited
Momentum-based Gradient Methods in Multi-Objective Recommendation
Blagoj Mitrevski, Milena Filipovic, Diego Antognini +3
Multi-objective gradient methods are becoming the standard for solving multi-objective problems. Among others, they show promising results in developing multi-objective recommender…
cs.LG2020★ 6 cited
Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm
Kirtan Padh, Diego Antognini, Emma Lejal Glaude +2
The goal of fairness in classification is to learn a classifier that does not discriminate against groups of individuals based on sensitive attributes, such as race and gender. One…