3 papers
math.ST2026
Tessellation Localized Transfer learning for nonparametric regression
Hélène Halconruy, Benjamin Bobbia, Paul Lejamtel
Transfer learning aims to improve performance on a target task by leveraging information from related source tasks. We propose a nonparametric regression transfer learning framewor…
cs.LG2025
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups
Vladimir R. Kostic, Karim Lounici, Hélène Halconruy +3
Markov processes serve as a universal model for many real-world random processes. This paper presents a data-driven approach for learning these models through the spectral decompos…
math.ST2024
Evolving privacy: drift parameter estimation for discretely observed i.i.d. diffusion processes under LDP
Chiara Amorino, Arnaud Gloter, Hélène Halconruy
The problem of estimating a parameter in the drift coefficient is addressed for discretely observed independent and identically distributed stochastic differential equations (S…