Yusuke Muraoka

2 accepted papers

2017

Scalable Model Selection for Belief Networks

Zhao Song, Yusuke Muraoka, Ryohei Fujimaki, Lawrence Carin

NeurIPS 2017poster

We propose a scalable algorithm for model selection in sigmoid belief networks (SBNs), based on the factorized asymptotic Bayesian (FAB) framework. We derive the corresponding generalized factorized information criterion (gFIC) for the SBN, which is proven to be statistically consistent with the mar…

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2015

Scalable Model Selection for Large-Scale Factorial Relational Models

Chunchen Liu, Lu Feng, Ryohei Fujimaki, Yusuke Muraoka

ICML 2015poster

With a growing need to understand large-scale networks, factorial relational models, such as binary matrix factorization models (BMFs), have become important in many applications. Although BMFs have a natural capability to uncover overlapping group structures behind network data, existing inference…

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