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Automatic Hyperparameter Tuning in Sparse Matrix Factorization
We study the problem of hyperparameter tuning in sparse matrix factorization under Bayesian framework.
Pointwise convergence of Fourier series and deep neural network for the indicator function of d-dimensional ball
In this paper, we clarify the crucial difference between a deep neural network and the Fourier series.
Approximate Method of Variational Bayesian Matrix Factorization/Completion with Sparse Prior
We derive analytical expression of matrix factorization/completion solution by variational Bayes method, under the assumption that observed matrix is originally the product of low-rank dense and sparse matrices with additive noise.
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