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Volumn 4212 LNAI, Issue , 2006, Pages 270-281

Fast variational inference for Gaussian process models through KL-correction

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDARY VALUE PROBLEMS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION;

EID: 33750291245     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11871842_28     Document Type: Conference Paper
Times cited : (25)

References (9)
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    • Variational bayesian multinomial probit regression with gaussian process priors
    • Girolami, M., Rogers, S.: Variational bayesian multinomial probit regression with gaussian process priors. Neural Computation 18(8) (2006) 1790-1817
    • (2006) Neural Computation , vol.18 , Issue.8 , pp. 1790-1817
    • Girolami, M.1    Rogers, S.2
  • 2
    • 33750320916 scopus 로고    scopus 로고
    • Variational inference in Gaussian processes via probabilistic point assimilation
    • The University of Sheffield, Department of Computer Science
    • King, N.J., Lawrence, N.D.: Variational inference in Gaussian processes via probabilistic point assimilation. Technical Report CS-05-06, The University of Sheffield, Department of Computer Science (2005)
    • (2005) Technical Report CS-05-06
    • King, N.J.1    Lawrence, N.D.2
  • 3
    • 0001136395 scopus 로고
    • Some Bayesian numerical analysis
    • Bernardo, J.M., Berger, J.O., Dawid, A.P. Smith, A.F.M., eds.: Valencia, Oxford University Press
    • O'Hagan, A.: Some Bayesian numerical analysis. In Bernardo, J.M., Berger, J.O., Dawid, A.P. Smith, A.F.M., eds.: Bayesian Statistics 4, Valencia, Oxford University Press (1992) 345-363
    • (1992) Bayesian Statistics , vol.4 , pp. 345-363
    • O'Hagan, A.1
  • 5
    • 85156191859 scopus 로고    scopus 로고
    • Bayesian methods for mixtures of experts
    • Touretzky, D., Mozer, M., Hasselmo, M., eds.: Cambridge, MA, MIT Press
    • Waterhouse, S., MacKay, D.J.C., Robinson, T.: Bayesian methods for mixtures of experts. In Touretzky, D., Mozer, M., Hasselmo, M., eds.: Advances in Neural Information Processing Systems. Volume 8., Cambridge, MA, MIT Press (1996) 351-357
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 351-357
    • Waterhouse, S.1    MacKay, D.J.C.2    Robinson, T.3
  • 6
    • 84898947199 scopus 로고    scopus 로고
    • Bayesian model selection for support vector machines, Gaussian processes and other kernel classifiers
    • Solla, S.A., Leen, T.K., Müller, K.R., eds.: Cambridge, MA, MIT Press
    • Seeger, M.: Bayesian model selection for support vector machines, Gaussian processes and other kernel classifiers. In Solla, S.A., Leen, T.K., Müller, K.R., eds.: Advances in Neural Information Processing Systems. Volume 12., Cambridge, MA, MIT Press (2000) 603-609
    • (2000) Advances in Neural Information Processing Systems , vol.12 , pp. 603-609
    • Seeger, M.1
  • 8
    • 0034320350 scopus 로고    scopus 로고
    • Gaussian processes for classification: Mean field algorithms
    • Opper, M., Winther, O.: Gaussian processes for classification: Mean field algorithms. Neural Computation 12 (2000) 2655-2684
    • (2000) Neural Computation , vol.12 , pp. 2655-2684
    • Opper, M.1    Winther, O.2


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