3 papers
stat.ML2024
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods
Bertille Follain, Francis Bach
We propose a new method for feature learning and function estimation in supervised learning via regularised empirical risk minimisation. Our approach considers functions as expecta…
stat.ME2023
Nonparametric Linear Feature Learning in Regression Through Regularisation
Bertille Follain, Francis Bach
Representation learning plays a crucial role in automated feature selection, particularly in the context of high-dimensional data, where non-parametric methods often struggle. In t…
stat.ME2021
High-dimensional changepoint estimation with heterogeneous missingness
Bertille Follain, Tengyao Wang, Richard J. Samworth
We propose a new method for changepoint estimation in partially-observed, high-dimensional time series that undergo a simultaneous change in mean in a sparse subset of coordinates.…