Almost sure convergence analysis of stochastic gradient methods with clipping and additive noise
Read the original at arxiv.org→arXiv:2609.12119v1 Announce Type: new Abstract: Stochastic gradient descent (SGD) with gradient clipping and additive noise has become a standard technique for training machine learning models, particularly in...
Original headline: "Almost Sure Convergence Analysis of Stochastic Gradient Methods with Clipping and Additive Noise"
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- Sep 14, 04:00 UTC arXiv cs.LG lead source Almost Sure Convergence Analysis of Stochastic Gradient Methods with Clipping and Additive Noise