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cs.LG2022
Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems
Jill-Jênn Vie, Tomas Rigaux, Hisashi Kashima
Factorization machines (FMs) are a powerful tool for regression and classification in the context of sparse observations, that has been successfully applied to collaborative filter…
cs.CY2022
Privacy-Preserving Synthetic Educational Data Generation
Jill-Jênn Vie, Tomas Rigaux, Sein Minn
Institutions collect massive learning traces but they may not disclose it for privacy issues. Synthetic data generation opens new opportunities for research in education. In this p…