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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…
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…