10 citations · 11 across the 9 of their papers we have counts for
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stat.ML2019
Hierarchical Probabilistic Model for Blind Source Separation via Legendre Transformation
Simon Luo, Lamiae Azizi, Mahito Sugiyama
We present a novel blind source separation (BSS) method, called information geometric blind source separation (IGBSS). Our formulation is based on the log-linear model equipped wit…
stat.ML2019★ 1 cited
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions
Simon Luo, Mahito Sugiyama
Hierarchical probabilistic models are able to use a large number of parameters to create a model with a high representation power. However, it is well known that increasing the num…