New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity
Pan Zhou, Xiaotong Yuan, Jiashi Feng
–Neural Information Processing Systems
As an incremental-gradient algorithm, the hybrid stochastic gradient descent (HS-GD) enjoys merits of both stochastic and full gradient methods for finite-sum problem optimization.
Neural Information Processing Systems
Nov-20-2025, 17:03:14 GMT
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