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stat.ML2026
Subsampling for supervised learning in reproducing kernel Hilbert spaces
Eyal Vayness, Maxime Sangnier
In the era of big data, subsampling became a common practice in statistical learning. By selecting a subgroup of individuals based on which the learner is trained, subsampling aims…
stat.ML2025
Nonparametric estimation of Hawkes processes with RKHSs
Anna Bonnet, Maxime Sangnier
This paper addresses nonparametric estimation of nonlinear multivariate Hawkes processes, where the interaction functions are assumed to lie in a reproducing kernel Hilbert space (…