The Information Bottleneck Problem and Its Applications in Machine Learning

Goldfeld Ziv
Goldfeld Ziv

IEEE J. Sel. Areas Inf. Theory, pp. 19-38, 2020.

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Abstract:

Inference capabilities of machine learning (ML) systems skyrocketed in recent years, now playing a pivotal role in various aspect of society. The goal in statistical learning is to use data to obtain simple algorithms for predicting a random variable $Y$ from a correlated observation $X$ . Since the dimension of $X$ is ty...More

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