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pro vyhledávání: '"Annaswamy, Anurdha M."'
Autor:
Gibson, Travis E., Acharya, Sawal, Parashar, Anjali, Gaudio, Joseph E., Annaswamy, Anurdha M.
Gradient based optimization algorithms deployed in Machine Learning (ML) applications are often analyzed and compared by their convergence rates or regret bounds. While these rates and bounds convey valuable information they don't always directly tra
Externí odkaz:
http://arxiv.org/abs/2405.13765
