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The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning.
international conference on machine learning, (2018)
Stochastic Gradient Descent (SGD) with small mini-batch is a key component in modern large-scale learning. However, its efficiency has not been easy to analyze as most theoretical results require adaptive rates and show convergence rates far slower than that for gradient descent, making computational comparisons difficult. In this paper w...More
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