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Disentangling trainability and generalization in deep learning., , и . CoRR, (2019)Temperature check: theory and practice for training models with softmax-cross-entropy losses., , , и . CoRR, (2020)Exact posterior distributions of wide Bayesian neural networks., , , , и . CoRR, (2020)Nonlinear random matrix theory for deep learning., и . NIPS, стр. 2637-2646. (2017)Second-order regression models exhibit progressive sharpening to the edge of stability., , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 169-195. PMLR, (2023)A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions., , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 3434-3457. PMLR, (2022)Deep Neural Networks as Gaussian Processes., , , , , и . ICLR (Poster), OpenReview.net, (2018)Clinical Data Research Network Lessons Learned., , , , , , , , и . CRI, AMIA, (2016)Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models., , , , , , , , , и 31 other автор(ы). CoRR, (2023)Covariate Shift in High-Dimensional Random Feature Regression., , и . CoRR, (2021)