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An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression.

, , , и . CoRR, (2023)

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Simon B Margulies

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Другие публикации лиц с тем же именем

More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory., , , и . CoRR, (2023)Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting., , , , , и . CoRR, (2022)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, , , , , , , , , и 441 other автор(ы). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.Reverse Engineering the Neural Tangent Kernel., , и . CoRR, (2021)An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression., , , и . CoRR, (2023)Neural Tangent Kernel Eigenvalues Accurately Predict Generalization., , и . CoRR, (2021)Tune As You Scale: Hyperparameter Optimization For Compute Efficient Training., , , , , , , , и . CoRR, (2023)On Kernel Regression with Data-Dependent Kernels.. CoRR, (2022)Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting., , , , , и . NeurIPS, (2022)On the Stepwise Nature of Self-Supervised Learning., , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 31852-31876. PMLR, (2023)