Particle-based algorithms for Bayesian Neural Networks

Nguyen, Manh Duc


  • Bayesian inference is a powerful framework to do prediction under uncertainty. Bayesian Neural Networks combine the flexibility of neural networks with Bayesian machine learning's ability to incorporate uncertainty into prediction. While approximate Bayesian makes restricting assumption on the class of posterior distribution, particle-based algorithms can learn more flexible posterior distributions. ... read more
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