Bayesian Deep Learning and Probabilistic Model Construction - ICML 2020 Tutorial
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YouTubeAndrew Gordon Wilson
Bayesian Deep Learning and Probabilistic Model Construction - ICML 2020 Tutorial
Bayesian Deep Learning and a Probabilistic Perspective of Model Construction ICML 2020 Tutorial Bayesian inference is especially compelling for deep neural networks. The key distinguishing property of a Bayesian approach is marginalization instead of optimization. Neural networks are typically underspecified by the ...
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