Information Bottleneck: Theory and Applications in Deep Learning

The celebrated information bottleneck (IB) principle of Tishby et al. has recently enjoyed renewed attention due to its application in the area of deep learning. This collection investigates the IB principle in this new context. The individual chapters in this collection: • provide novel insights in...

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Format:	Buch
Sprache:	eng
Schlagworte:	bottleneck classification classifier compression conspicuous subset decision tree deep learning deep networks deep neural networks Economics, Finance, Business and Management ensemble hand crafted priors Industry and industrial studies information information bottleneck information bottleneck principle Information technology industries information theory latent space representation learnability learnable priors machine learning Media, entertainment, information and communication industries mutual information neural networks optimization regularization regularization methods representation learning semi-supervised classification stochastic neural networks thema EDItEUR variational inference
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