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Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks., , and . CoRR, (2019)Underspecification Presents Challenges for Credibility in Modern Machine Learning., , , , , , , , , and 30 other author(s). CoRR, (2020)A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 3434-3457. PMLR, (2022)The Time Scale of Evolutionary Innovation., , , and . PLoS Comput. Biol., (2014)Kernel Regression with Infinite-Width Neural Networks on Millions of Examples., , , , and . CoRR, (2023)Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit., , , , and . CoRR, (2020)Understanding the bias-variance tradeoff of Bregman divergences., , , and . CoRR, (2022)Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit., , , , and . ICLR, OpenReview.net, (2021)The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization., and . ICML, volume 119 of Proceedings of Machine Learning Research, page 74-84. PMLR, (2020)Small-scale proxies for large-scale Transformer training instabilities., , , , , , , , , and 6 other author(s). CoRR, (2023)