Learning and testing junta distributions over hypercubes

2015.

Cited by: 0|Views3

Abstract:

Many tasks related to the analysis of high-dimensional datasets can be formalized as problems involving learning or testing properties of distributions over a high-dimensional domain. In this work, we initiate the study of the following general question: when many of the dimensions of the distribution correspond to "irrelevant" features i...More

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