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stat.ML2022★ 1 cited
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
Luca Pesce, Bruno Loureiro, Florent Krzakala +1
A simple model to study subspace clustering is the high-dimensional -Gaussian mixture model where the cluster means are sparse vectors. Here we provide an exact asymptotic chara…
stat.ML2022★ 17 cited
Learning curves for the multi-class teacher-student perceptron
Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga +3
One of the most classical results in high-dimensional learning theory provides a closed-form expression for the generalisation error of binary classification with the single-layer…