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Disentangling trainability and generalization in deep learning., , and . CoRR, (2019)Exact posterior distributions of wide Bayesian neural networks., , , , and . CoRR, (2020)Temperature check: theory and practice for training models with softmax-cross-entropy losses., , , and . CoRR, (2020)Nonlinear random matrix theory for deep learning., and . NIPS, page 2637-2646. (2017)Second-order regression models exhibit progressive sharpening to the edge of stability., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 169-195. PMLR, (2023)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)Clinical Data Research Network Lessons Learned., , , , , , , , and . CRI, AMIA, (2016)Deep Neural Networks as Gaussian Processes., , , , , and . ICLR (Poster), OpenReview.net, (2018)Covariate Shift in High-Dimensional Random Feature Regression., , and . CoRR, (2021)Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models., , , , , , , , , and 31 other author(s). CoRR, (2023)