Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features

13 Nov 2019Shingo YashimaAtsushi NitandaTaiji Suzuki

Although kernel methods are widely used in many learning problems, they have poor scalability to large datasets. To address this problem, sketching and stochastic gradient methods are the most commonly used techniques to derive efficient large-scale learning algorithms... (read more)

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