Supplementary Material: Learning Structured Weight Uncertainty in Bayesian Neural Networks
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چکیده
منابع مشابه
Learning Structured Weight Uncertainty in Bayesian Neural Networks
Deep neural networks (DNNs) are increasingly popular in modern machine learning. Bayesian learning affords the opportunity to quantify posterior uncertainty on DNN model parameters. Most existing work adopts independent Gaussian priors on the model weights, ignoring possible structural information. In this paper, we consider the matrix variate Gaussian (MVG) distribution to model structured cor...
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تاریخ انتشار 2017