High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance

2 February 2023

Alexander Gasnikov

Papers citing "High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance"

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Title
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis Zhijie Chen Qiaobo Li A. Banerjee FedML 80 0 0 11 Nov 2024
Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees Aleksandar Armacki Shuhua Yu Pranay Sharma Gauri Joshi Dragana Bajović D. Jakovetić S. Kar 83 2 0 17 Oct 2024