conftrace_

mini-batch stochastic gradient descent

4 papers

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Also known as

MINI-BATCH SGD

Co-occurring keywords · papers mentioning both

convergence guarantee (2) gradient descent (2) distributed learning (2) correlated sample (1) adaptive stochastic algorithm (1) convergence theory (1) kernel methods (1) gradient diversity (1) average probabilistic dimension complexity (1) probabilistic dimension complexity (1)

Papers

The Power of Random Features and the Limits of Distribution-Free Gradient Descent ICML 2025 Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits JMLR 2022 Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration JMLR 2022 Gradient Diversity: a Key Ingredient for Scalable Distributed Learning AISTATS 2018