Abstract: We establish that a broad class of effective learning rules—those that improve a scalar performance measure over a given time window—can be expressed as natural gradient descent with respect ...
Stochastic Gradient Descent for Constrained Optimization Based on Adaptive Relaxed Barrier Functions
Abstract: This letter presents a novel stochastic gradient descent algorithm for constrained optimization. The proposed algorithm randomly samples constraints and components of the finite sum ...
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