Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization

ICML 2020 Vien MaiMikael Johansson

Stochastic gradient methods with momentum are widely used in applications and at the core of optimization subroutines in many popular machine learning libraries. However, their sample complexities have never been obtained for problems that are non-convex and non-smooth... (read more)

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