AI RESEARCH
Uniform a priori bounds and error analysis for the Adam stochastic gradient descent optimization method
arXiv CS.LG
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ArXi:2603.18899v1 Announce Type: new The adaptive moment estimation (Adam) optimizer proposed by Kingma & Ba is presumably the most popular stochastic gradient descent (SGD) optimization method for the