Representation Learning: A Statistical Perspective

Annual Review of Statistics and Its Application, pp. 303-335, 2020.

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Abstract:

Learning representations of data is an important problem in statistics and machine learning. While the origin of learning representations can be traced back to factor analysis and multidimensional scaling in statistics, it has become a central theme in deep learning with important applications in computer vision and computational neurosci...More

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