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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

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Dealing with label noise (Regression, NLP)

There are a lot more prior works on noisy labels than noisy regression values; we could adapt some ideas from them. … Some of the easier categories of techniques (and some ways to use them) are: Robust architecture We take the regression value and corrupt it (e.g. sample from Gaussian distribution with the given regression
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