2023
Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach
NeurIPS 2023poster
We characterise the learning of a mixture of two clouds of data points with generic centroids via empirical risk minimisation in the high dimensional regime, under the assumptions of generic convex loss and convex regularisation. Each cloud of data points is obtained via a double-stochastic process,…