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  Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization

de Roos, F., & Hennig, P. (2019). Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization. In K. Chaudhuri, & M. Sugiyama (Eds.), Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019 (pp. 1448-1457). PMLR. Retrieved from http://proceedings.mlr.press/v89/roos19a.html.

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Genre: Conference Paper

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 Creators:
de Roos, F.1, Author           
Hennig, P.1, Author           
Affiliations:
1Max 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: 2019
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: deroos2019active
URI: http://proceedings.mlr.press/v89/roos19a.html
 Degree: -

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Title: 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019)
Place of Event: Naha, Okinawa, Japan
Start-/End Date: 2019-04-16 - 2019-04-18

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Title: Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019
Source Genre: Proceedings
 Creator(s):
Chaudhuri, K.1, Editor
Sugiyama, M.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: PMLR
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1448 - 1457 Identifier: URI: http://proceedings.mlr.press/v89/

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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: 89 Sequence Number: - Start / End Page: - Identifier: ISSN: 2640-3498