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