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Approximating the Real Structured Stability Radius with Frobenius-Norm Bounded Perturbations., , , and . SIAM J. Matrix Anal. Appl., 38 (4): 1323-1353 (2017)Global convergence rate of incremental aggregated gradient methods for nonsmooth problems., , and . CDC, page 173-178. IEEE, (2016)Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 8970-8980. PMLR, (2020)Differential Privacy of Noisy (S)GD under Heavy-Tailed Perturbations., , , and . CoRR, (2024)DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate., , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1965-1976. PMLR, (2020)Breaking Reversibility Accelerates Langevin Dynamics for Non-Convex Optimization., , and . NeurIPS, (2020)IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method., , , , , and . NeurIPS, (2020)HyLo: A Hybrid Low-Rank Natural Gradient Descent Method., , , , and . SC, page 47:1-47:16. IEEE, (2022)Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 891-901. PMLR, (2019)Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 1249-1260. PMLR, (2021)