Ordinal embedding, hyperbolic space, hierarchical structure, low-dimensionality

Suzuki, Atsushi, Wang, Jing, Tian, Feng, Nitanda, Atsushi and Yamanishi, Kenji (2019) Hyperbolic ordinal embedding. In: Asian Conference on Machine Learning, 17-19 November 2019, Nagoya, Japan. Proceedings of Machine Learning Research, 101 . MIR, Moscow, Russia, pp. 1065-1080.

convolutive nonnegative matrix factorization

Suzuki, Atsushi, Miyaguchi, Kohei and Yamanishi, Kenji (2017) Structure selection for convolutive non-negative matrix factorization using normalized maximum likelihood coding. In: 2016 IEEE 16th International Conference on Data Mining (ICDM). IEEE, Barcelona, pp. 1221-1226. ISBN 978-1509054749 ISSN 2374-8486 (doi:10.1109/ICDM.2016.0163)

nonasymptotic calculation formula, normalized maximum likelihood code length, fourier analysis, exponential family models

Suzuki, Atsushi and Kenji, Yamanishi (2018) Exact calculation of normalized maximum likelihood code length using fourier analysis. In: 2018 IEEE International Symposium on Information Theory (ISIT). IEEE, pp. 1211-1215. ISBN 978-1538641026 ISSN 2157-8117 (Online) (doi:10.1109/ISIT.2018.8437862)

subspace clustering, unsupervised learning, orderly embedding

Wang, Jing, Suzuki, Atsushi, Xu, Linchuan, Tian, Feng, Yang, Liang and Yamanishi, Kenji (2019) Orderly subspace clustering. In: Proceedings of the AAAI Conference on Artificial Intelligence. AAAI Press, Palo Alto, California USA, pp. 5264-5272. ISBN 978-1577358091 ISSN 2159-5399 (Print), 2374-3468 (Online) (doi:10.1609/aaai.v33i01.33015264)