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#129 Bayesian Deep Learning & AI for Science with Vincent Fortuin

Learning Bayesian Statistics

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Efficient Algorithms in Bayesian Deep Learning

This chapter explores various algorithms in Bayesian deep learning, emphasizing the trade-offs between computational cost and accuracy. It covers techniques like Laplace inference, variational inference, and Markov Chain Monte Carlo, highlighting recent advancements in efficient inference methods and their application to deep learning.

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