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

Oliver StegleChristoph Lippert, Joris Mooij, Neil D. LawrenceKarsten Borgwardt
Neural Information Processing Systems, 2011.

Abstract

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BibTeX
@InProceedings{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}, booktitle = {Neural Information Processing Systems}, year = {2011}, 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 Neural Information Processing Systems %D 2011 %F Stegle:sparse11 %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 - Neural Information Processing Systems DA - 2011/01/01 ID - Stegle:sparse11 AB - ER -
APA
Stegle, O., Lippert, C., Mooij, J., Lawrence, N.D. & Borgwardt, K.. (2011). Efficient Inference in Matrix-Variate Gaussian Models with i.i.d. Observation Noise. Neural Information Processing Systems

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