22.01 12:00 - 13:30
USI East Campus, Room D5.01 |
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Abstract: Online learning and recommandation systems are ubiquitous in decision making, including in some sensitive cases such as job hiring, decision in justice, admission in college. Applying blindly standard ML technics can lead to unfair and discriminatory decisions. We will discuss some approaches for improving fairness in online learning and recommandation systems.
Host: Prof. Deborah Sulem | |
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| | Christophe Giraud is a Professor at the Institut de Mathématiques d’Orsay, Université Paris-Saclay. After an early career in probability theory and mathematical physics, his research interests shifted toward fundamental problems in statistics and machine learning, with a particular focus on high-dimensional settings. He serves as an Action Editor for the Journal of Machine Learning Research (JMLR), as an Associate Editor for the Journal of the European Mathematical Society (JEMS), and as Area Chair for COLT. 12:00 |
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