Efficient inference in matrix-variate Gaussian models with iid observation noise

Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011

Volumn , Issue , 2011, Pages

  Stegle, Oliver ^a   Lippert, Christoph ^a   Mooij, Joris ^b   Lawrence, Neil ^c   Borgwardt, Karsten ^a  

^a UNIVERSITY OF TÜBINGEN   (Germany)

^b RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^c UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC);

COMPUTATIONAL TRACTABILITY; COVARIANCE MATRICES; GAUSSIAN MODELING; GRAPHICAL LASSOS; JOINT LEARNING; KRONECKER PRODUCT; LEARN+; MATRIX VARIATES; MULTI-OUTPUT; OBSERVATION NOISE;

COVARIANCE MATRIX;

EID: 85162502083     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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