Linear Dependent Dimensionality Reduction

Part of Advances in Neural Information Processing Systems 16 (NIPS 2003)

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Nathan Srebro, Tommi Jaakkola


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