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R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate., , и . CoRR, (2018)On Bilevel Optimization without Lower-level Strong Convexity., , и . CoRR, (2023)Direct Runge-Kutta Discretization Achieves Acceleration., , , и . NeurIPS, стр. 3904-3913. (2018)Achieving Acceleration in Distributed Optimization via Direct Discretization of the Heavy-Ball ODE., , , и . ACC, стр. 3408-3413. IEEE, (2019)Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition., , , и . CoRR, (2019)Online Policy Optimization for Robust MDP., , , и . CoRR, (2022)Acceleration in First Order Quasi-strongly Convex Optimization by ODE Discretization., , и . CDC, стр. 1501-1506. IEEE, (2019)Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity., , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 26347-26361. PMLR, (2022)Understanding the unstable convergence of gradient descent., , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 247-257. PMLR, (2022)Why are Adaptive Methods Good for Attention Models?, , , , , , и . NeurIPS, (2020)