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cs.LG2021★ 6 cited
Stochastic gradient descent with noise of machine learning type. Part II: Continuous time analysis
Stephan Wojtowytsch
The representation of functions by artificial neural networks depends on a large number of parameters in a non-linear fashion. Suitable parameters of these are found by minimizing…
stat.ML2021
Stochastic gradient descent with noise of machine learning type. Part I: Discrete time analysis
Stephan Wojtowytsch
Stochastic gradient descent (SGD) is one of the most popular algorithms in modern machine learning. The noise encountered in these applications is different from that in many theor…