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Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime.

, , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 2280-2290. PMLR, (2020)

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Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8936-8947. PMLR, (2021)The dynamics of learning with feedback alignment., , , and . CoRR, (2020)Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 14283-14314. PMLR, (2022)Epidemic mitigation by statistical inference from contact tracing data., , , , , , , , , and 3 other author(s). CoRR, (2020)Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization., , , , , , and . CoRR, (2023)Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 2280-2290. PMLR, (2020)Optimal learning rate schedules in high-dimensional non-convex optimization problems., , and . CoRR, (2022)The dynamics of representation learning in shallow, non-linear autoencoders., and . ICML, volume 162 of Proceedings of Machine Learning Research, page 18499-18519. PMLR, (2022)Neural networks trained with SGD learn distributions of increasing complexity., , and . CoRR, (2022)Align, then memorise: the dynamics of learning with feedback alignment., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8925-8935. PMLR, (2021)