approximate Bayesian inference

Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes

root September 25, 2023 0

The article presents Neural Operator Variational Inference (NOVI) for Deep Gaussian Processes (DGP). NOVI uses a neural generator to obtain a sampler and minimizes the Regularized Stein Discrepancy between the…

Machine Learning

BayesDLL: Bayesian Deep Learning Library

root September 25, 2023 0

The article presents BayesDLL, a new Bayesian neural network library for PyTorch. The library is designed for large-scale deep networks and implements various approximate Bayesian inference algorithms such as variational…

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approximate Bayesian inference

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