Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation

Takeru Matsuda; Aapo Hyvärinen

Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	The 22nd International Conference on Artificial Intelligence and Statistics, 16-18 April 2019
Editors	Kamalika Chaudhuri, Masashi Sugiyama
Number of pages	9
Place of Publication	Cambridge, MA
Publisher	Journal of Machine Learning Research
Publication date	2019
Pages	2555-2563
Publication status	Published - 2019
MoE publication type	A4 Article in conference proceedings
Event	The 22nd International Conference on Artificial Intelligence and Statistics - Naha, Okinawa, Japan Duration: 16 Apr 2019 → 18 Apr 2019 https://www.aistats.org/

Publication series

Name	Proceedings of Machine Learning Research
Volume	89
ISSN (Electronic)	2640-3498

Fields of Science

113 Computer and information sciences

Access to Document

matsuda19aFinal published version, 436 KBLicence: Unspecified

Cite this

Matsuda, T., & Hyvärinen, A. (2019). Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation. In K. Chaudhuri, & M. Sugiyama (Eds.), The 22nd International Conference on Artificial Intelligence and Statistics, 16-18 April 2019 (pp. 2555-2563). (Proceedings of Machine Learning Research; Vol. 89). Journal of Machine Learning Research. https://arxiv.org/pdf/1805.07516

Matsuda, Takeru ; Hyvärinen, Aapo. / Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation. The 22nd International Conference on Artificial Intelligence and Statistics, 16-18 April 2019. editor / Kamalika Chaudhuri ; Masashi Sugiyama . Cambridge, MA : Journal of Machine Learning Research, 2019. pp. 2555-2563 (Proceedings of Machine Learning Research).

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title = "Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation",

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author = "Takeru Matsuda and Aapo Hyv{\"a}rinen",

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publisher = "Journal of Machine Learning Research",

pages = "2555--2563",

editor = "Chaudhuri, {Kamalika } and {Sugiyama }, {Masashi }",

booktitle = "The 22nd International Conference on Artificial Intelligence and Statistics, 16-18 April 2019",

address = "United States",

note = "The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019 ; Conference date: 16-04-2019 Through 18-04-2019",

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Matsuda, T & Hyvärinen, A 2019, Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation. in K Chaudhuri & M Sugiyama (eds), The 22nd International Conference on Artificial Intelligence and Statistics, 16-18 April 2019. Proceedings of Machine Learning Research, vol. 89, Journal of Machine Learning Research, Cambridge, MA, pp. 2555-2563, The 22nd International Conference on Artificial Intelligence and Statistics, Naha, Okinawa, Japan, 16/04/2019. <https://arxiv.org/pdf/1805.07516>

Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation. / Matsuda, Takeru; Hyvärinen, Aapo.
The 22nd International Conference on Artificial Intelligence and Statistics, 16-18 April 2019. ed. / Kamalika Chaudhuri; Masashi Sugiyama . Cambridge, MA: Journal of Machine Learning Research, 2019. p. 2555-2563 (Proceedings of Machine Learning Research; Vol. 89).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation

AU - Matsuda, Takeru

AU - Hyvärinen, Aapo

PY - 2019

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M3 - Conference contribution

T3 - Proceedings of Machine Learning Research

SP - 2555

EP - 2563

BT - The 22nd International Conference on Artificial Intelligence and Statistics, 16-18 April 2019

A2 - Chaudhuri, Kamalika

A2 - Sugiyama , Masashi

PB - Journal of Machine Learning Research

CY - Cambridge, MA

T2 - The 22nd International Conference on Artificial Intelligence and Statistics

Y2 - 16 April 2019 through 18 April 2019

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