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Nonparametric Linear Feature Learning in Regression through Regularisation
Representation learning plays a crucial role in automated feature selection, particularly in the context of high-dimensional data, …
Bertille Follain, Francis Bach
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High-Dimensional Changepoint Estimation with Heterogeneous Missingness
We propose a new method for changepoint estimation in partially observed, high-dimensional time series that undergo a simultaneous …
Bertille Follain, Tengyao Wang, Richard J. Samworth
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High-Dimensional Changepoint Estimation with Heterogeneous Missingness