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Non-Uniform Smoothness for Gradient Descent., , и . CoRR, (2023)Newton-ADMM: a distributed GPU-accelerated optimizer for multiclass classification problems., , , , и . SC, стр. 57. IEEE/ACM, (2020)Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 13085-13117. PMLR, (2023)Convergence of Newton-MR under Inexact Hessian Information., и . SIAM J. Optim., 31 (1): 59-90 (2021)Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution., , , и . CoRR, (2024)Inexact Nonconvex Newton-Type Methods., , , и . INFORMS J. Optim., 3 (2): 154-182 (января 2021)Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks., , , , и . CoRR, (2020)Second-order Optimization for Non-convex Machine Learning: an Empirical Study., , и . SDM, стр. 199-207. SIAM, (2020)The conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume..Shadow Manifold Hamiltonian Monte Carlo., , , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 1477-1485. PMLR, (2021)Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks., , , , и . AAAI, стр. 9967-9977. AAAI Press, (2021)