16/11/22 – Offre de #stage : Random Fourier Features for PAC-Bayesian Domain Adaptation #MachineLearning

Keywords: Machine Learning, Transfer Learning, Representation Learning

General overview: The main idea of this internship is to take advantage of the PAC-Bayesian theory
and recent works that have been published in this domain in order to develop or build generalization
bounds for Domain Adaptation

Tous les renseignements : https://guillaumemetzler.github.io/documents/offers/Intern_Position_2023.pdf