A unified implicit moment tensor estimation framework yields poly(d,k)-time learners for mixtures of linear regressions, spherical Gaussians, and positive sums of ReLU activations, with one unproven step in the regression application.
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Implicit High-Order Moment Tensor Estimation and Learning Latent Variable Models
A unified implicit moment tensor estimation framework yields poly(d,k)-time learners for mixtures of linear regressions, spherical Gaussians, and positive sums of ReLU activations, with one unproven step in the regression application.