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Deterministic equivalent and error universality of deep random features learning.

, , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 30285-30320. PMLR, (2023)

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Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime., , , and . NeurIPS, page 10131-10143. (2021)Bayes-optimal Learning of Deep Random Networks of Extensive-width., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 6468-6521. PMLR, (2023)Asymptotics of feature learning in two-layer networks after one gradient-step., , , , , , and . ICML, OpenReview.net, (2024)Analysis of learning a flow-based generative model from limited sample complexity., , , and . CoRR, (2023)Deterministic equivalent and error universality of deep random features learning., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 30285-30320. PMLR, (2023)Large deviations for the perceptron model and consequences for active learning., , and . MSML, volume 107 of Proceedings of Machine Learning Research, page 390-430. PMLR, (2020)Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity., , , and . ICLR, OpenReview.net, (2024)Asymptotics of Learning with Deep Structured (Random) Features., , , and . ICML, OpenReview.net, (2024)Large deviations for the perceptron model and consequences for active learning., , and . CoRR, (2019)Learning curves of generic features maps for realistic datasets with a teacher-student model., , , , , , and . NeurIPS, page 18137-18151. (2021)