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Titel:

Graphical Models for Non-Negative Data Using Generalized Score Matching

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Yu, Shiqing; Drton, Mathias; Shojaie, Ali
Abstract:
A common challenge in estimating parameters of probability density functions is the intractability of the normalizing constant. While in such cases maximum likelihood estimation may be implemented using numerical integration, the approach becomes computationally intensive. In contrast, the score matching method of Hyvärinen (2005) avoids direct calculation of the normalizing constant and yields closed-form estimates for exponential families of continuous distributions over Rm. Hyvärinen (2007) e...     »
Dewey Dezimalklassifikation:
510 Mathematik
Kongresstitel:
21st International Conference on Artificial Intelligence and Statistics (21st AISTATS 2018)
Kongress / Zusatzinformationen:
9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands
Zeitschriftentitel:
Proceedings of Machine Learning Research
Jahr:
2018
Band / Volume:
84
Seitenangaben Beitrag:
1781-1790
Sprache:
en
WWW:
Proceedings of Machine Learning Research
Print-ISSN:
2640-3498
E-ISSN:
1938-7228
Format:
Text
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