Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance. - Ulysse Marteau-Ferey; Dmitrii Ostrovskii; Francis R. Bach; Alessandro Rudi (COLT, 2019)

Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses. - Ulysse Marteau-Ferey; Francis R. Bach; Alessandro Rudi (NeurIPS, 2019)

Non-parametric Models for Non-negative Functions. - Ulysse Marteau-Ferey; Francis R. Bach; Alessandro Rudi (NeurIPS, 2020)

Sampling from Arbitrary Functions via PSD Models. - Ulysse Marteau-Ferey; Francis R. Bach; Alessandro Rudi (AISTATS, 2022)

Modelling functions with kernels: from logistic regression to global optimisation. (De la régression logistique à l'optimisation globale, modéliser des fonctions avec des noyaux). - Ulysse Marteau-Ferey (2022)

SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning. - Tanguy Marchand; Regis Loeb; Ulysse Marteau-Ferey; Jean Ogier du Terrail; Arthur Pignet (ICML, 2023)

Second Order Conditions to Decompose Smooth Functions as Sums of Squares. - Ulysse Marteau-Ferey; Francis R. Bach; Alessandro Rudi (SIAM J. Optim., 2024)

Finding global minima via kernel approximations. - Alessandro Rudi; Ulysse Marteau-Ferey; Francis R. Bach (Math. Program., 2025)