Efficient Inference in Matrix-Variate Gaussian Models with i.i.d. Observation Noise

Oliver StegleChristoph Lippert, Joris Mooij, Neil D. LawrenceKarsten Borgwardt
, 2011.

Abstract

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BibTeX
@InProceedings{pmlr-v-stegle-sparse11, title = {Efficient Inference in Matrix-Variate Gaussian Models with i.i.d. Observation Noise}, author = {Oliver Stegle and Christoph Lippert and Joris Mooij and Neil D. Lawrence and Karsten Borgwardt}, year = {}, editor = {}, url = {http://inverseprobability.com/publications/stegle-sparse11.html}, abstract = {} }
Endnote
%0 Conference Paper %T Efficient Inference in Matrix-Variate Gaussian Models with i.i.d. Observation Noise %A Oliver Stegle %A Christoph Lippert %A Joris Mooij %A Neil D. Lawrence %A Karsten Borgwardt %B %C Proceedings of Machine Learning Research %D %E %F pmlr-v-stegle-sparse11 %I PMLR %J Proceedings of Machine Learning Research %P -- %U http://inverseprobability.com %V %W PMLR %X
RIS
TY - CPAPER TI - Efficient Inference in Matrix-Variate Gaussian Models with i.i.d. Observation Noise AU - Oliver Stegle AU - Christoph Lippert AU - Joris Mooij AU - Neil D. Lawrence AU - Karsten Borgwardt BT - PY - DA - ED - ID - pmlr-v-stegle-sparse11 PB - PMLR SP - DP - PMLR EP - L1 - UR - http://inverseprobability.com/publications/stegle-sparse11.html AB - ER -
APA
Stegle, O., Lippert, C., Mooij, J., Lawrence, N.D. & Borgwardt, K.. (). Efficient Inference in Matrix-Variate Gaussian Models with i.i.d. Observation Noise. , in PMLR :-

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