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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…
cs.LG2021
Generalization Error Bound for Hyperbolic Ordinal Embedding
Atsushi Suzuki, Atsushi Nitanda, Jing Wang +3
Hyperbolic ordinal embedding (HOE) represents entities as points in hyperbolic space so that they agree as well as possible with given constraints in the form of entity i is more s…