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recursive momentum

3 papers

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Co-occurring keywords · papers mentioning both

variance reduction (2) non-convex optimization (2) non-convex (1) riemannian (1) gradient clipping (1) adaptive learning rate (1) optimization (1) empirical risk minimization (1) distributed learning (1) stochastic gradient descent (1)

Papers

Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients AISTATS 2025 SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization ICML 2025 STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization NeurIPS 2021