1 citations · 1 across the 1 of their papers we have counts for
2 papers
stat.ML2023★ 1 cited
Automatic Hyperparameter Tuning in Sparse Matrix Factorization
Ryota Kawasumi, Koujin Takeda
We study the problem of hyperparameter tuning in sparse matrix factorization under Bayesian framework. In the prior work, an analytical solution of sparse matrix factorization with…
eess.SP2018
Approximate Method of Variational Bayesian Matrix Factorization/Completion with Sparse Prior
Ryota Kawasumi, Koujin Takeda
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-…