AI RESEARCH
A Theoretical and Experimental Study of a Novel Adaptive Learning Algorithm
arXiv CS.LG
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ArXi:2605.29273v1 Announce Type: new A crucial component of machine learning algorithms is minimizing loss functions with less computational cost and less oscillations. While adaptive learning rate-based optimizers have been widely used for real-world tasks, they do not guarantee convergence, which is why AMSGrad was later