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Implicit Regularization with Polynomial Growth in Deep Tensor Factorization
We study the implicit regularization effects of deep learning in tensor factorization.
Approximate Joint Diagonalization and Geometric Mean of Symmetric Positive Definite Matrices
In this paper we consider geometric means of co-variance matrices estimated on high-dimensional time-series, assuming that the data is generated according to an instantaneous mixing model, which is very common in signal processing.
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