Linear Dependent Dimensionality Reduction

Srebro, Nathan, Jaakkola, Tommi S.

Neural Information Processing Systems 

We formulate linear dimensionality reduction as a semi-parametric estimation problem, enabling us to study its asymptotic behavior. We generalize the problem beyond additive Gaussian noise to (unknown) non-Gaussian additive noise, and to unbiased non-additive models.

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