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Robust Subspace Approximation in a Stream
We study robust subspace estimation in the streaming and distributed settings.
Universal Approximation Using Well-Conditioned Normalizing Flows
As ill-conditioned Jacobians are an obstacle for likelihood-based training, the fundamental question remains: which distributions can be approximated using well-conditioned affine coupling flows?
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