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Found 2 papers, 2 papers with code
Collapsed Variational Bounds for Bayesian Neural Networks
Recent interest in learning large variational Bayesian Neural Networks (BNNs) has been partly hampered by poor predictive performance caused by underfitting, and their performance is known to be very sensitive to the prior over weights.
Efficient Low Rank Gaussian Variational Inference for Neural Networks
Bayesian neural networks are enjoying a renaissance driven in part by recent advances in variational inference (VI).
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