Provable Subspace Identification Under Post-Nonlinear Mixtures

Neural Information Processing Systems 

UML is known to be challenging: Even learning linear mixtures requires highly nontrivial analytical tools, e.g., independent component analysis or nonnegative matrix factorization.

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