On Compression Principle and Bayesian Optimization for Neural Networks

23 Jun 2020Michael Tetelman

Finding methods for making generalizable predictions is a fundamental problem of machine learning. By looking into similarities between the prediction problem for unknown data and the lossless compression we have found an approach that gives a solution... (read more)

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