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  Kernel Recursive ABC: Point Estimation with Intractable Likelihood

Kajihara, T., Kanagawa, M., Yamazaki, K., & Fukumizu, K. (2018). Kernel Recursive ABC: Point Estimation with Intractable Likelihood. In J. Dy, & A. Krause (Eds.), Proceedings of the 35th International Conference on Machine Learning (pp. 2400-2409). PMLR. Retrieved from http://proceedings.mlr.press/v80/kajihara18a.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-8741-B Version Permalink: https://hdl.handle.net/21.11116/0000-000A-DFCD-5
Genre: Conference Paper

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 Creators:
Kajihara, T.1, Author
Kanagawa, M.2, Author           
Yamazaki, K.1, Author
Fukumizu, K.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Max Planck Research Group Probabilistic Numerics, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2344694              

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Free keywords: Forschungsgruppe Hennig
 Abstract: -

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Language(s): eng - English
 Dates: 2018
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: KajKanYamFuk18
URI: http://proceedings.mlr.press/v80/kajihara18a
 Degree: -

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Title: 35th International Conference on Machine Learning (ICML 2018)
Place of Event: Stockholm
Start-/End Date: 2018-07-10 - 2018-07-15

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Title: Proceedings of the 35th International Conference on Machine Learning
Source Genre: Proceedings
 Creator(s):
Dy, J.1, Editor
Krause, A.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: PMLR
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 2400 - 2409 Identifier: URI: http://proceedings.mlr.press/v80/

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Title: Proceedings of Machine Learning Research (PMLR)
Source Genre: Series
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Affiliations:
Publ. Info: PMLR
Pages: - Volume / Issue: 80 Sequence Number: - Start / End Page: - Identifier: ISSN: 2640-3498