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most citedSolving Bayesian Inverse Problems With Expensive Likelihoods Using Constrained Gaussian Processes and Active Learning

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cs.CE2024

Dynamic Learning Rate Decay for Stochastic Variational Inference

Maximilian Dinkel, Gil Robalo Rei, Wolfgang A. Wall

Like many optimization algorithms, Stochastic Variational Inference (SVI) is sensitive to the choice of the learning rate. If the learning rate is too small, the optimization proce…