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Learning como Machine learning?

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Entire course with materials online.

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无疑，讨论模型可解释性的 paper 总是让人充满好奇的。 文中说前人据网络的 output 形成了两种解释思路：whitebox/blackbox explanation。此文提出了新black-box方法(general sensitivity level of a target model to specific input dimensions) 通过建立 DMM-MEN。

So the conditional distribution is conditioned on other components?

\(y\) is the data, \(f\) is the model, \(x\) is the input variable

key insight into Gaussian processes

This is easily the most interesting sentence in the paper: Turing used Bayesian analysis for code-breaking during WWII.