2 papers
cs.LG2025
Normalized Maximum Likelihood Code-Length on Riemannian Data Spaces
Kota Fukuzawa, Atsushi Suzuki, Kenji Yamanishi
In recent years, with the large-scale expansion of graph data, there has been an increased focus on Riemannian manifold data spaces other than Euclidean space. In particular, the d…
math.ST2024
Foundation of Calculating Normalized Maximum Likelihood for Continuous Probability Models
Atsushi Suzuki, Kota Fukuzawa, Kenji Yamanishi
The normalized maximum likelihood (NML) code length is widely used as a model selection criterion based on the minimum description length principle, where the model with the shorte…