2 papers
stat.ML2025
Differentially Private and Federated Structure Learning in Bayesian Networks
Ghita Fassy El Fehri, Aurélien Bellet, Philippe Bastien
Learning the structure of a Bayesian network from decentralized data poses two major challenges: (i) ensuring rigorous privacy guarantees for participants, and (ii) avoiding commun…
stat.ME2018
Cross validating extensions of kernel, sparse or regular partial least squares regression models to censored data
Frédéric Bertrand, Philippe Bastien, Myriam Maumy-Bertrand
When cross-validating standard or extended Cox models, the commonly used criterion is the cross-validated partial loglikelihood using a naive or a van Houwelingen scheme -to make e…