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Learning curves of generic features maps for realistic datasets with a teacher-student model.

, , , , , , и . NeurIPS, стр. 18137-18151. (2021)

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Cédric Müller

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Learning curves of generic features maps for realistic datasets with a teacher-student model., , , , , , и . NeurIPS, стр. 18137-18151. (2021)Multi-layer State Evolution Under Random Convolutional Design., , , и . NeurIPS, (2022)Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions., , , , , и . CoRR, (2021)Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension., , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 14283-14314. PMLR, (2022)Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression beyond Gaussian Matrices., , и . COLT, том 125 из Proceedings of Machine Learning Research, стр. 1682-1713. PMLR, (2020)Applying statistical learning theory to deep learning., , , , , и . CoRR, (2023)Statistical learning in high dimensions: a rigorous statistical physics approach. (Apprentissage statistique en grandes dimensions: une approche rigoureuse par la physique statistique).. PSL University, Paris, France, (2022)Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions., , , , , и . NeurIPS, стр. 10144-10157. (2021)Rigorous Dynamical Mean-Field Theory for Stochastic Gradient Descent Methods., , , , и . SIAM J. Math. Data Sci., 6 (2): 400-427 (2024)