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  2. Unsupervised Learning Week 2: Latent Variable Models Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect2.pdf
    27 Jan 2023: Unsupervised Learning. Week 2: Latent Variable Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  3. ibpnips4.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/GriGha06.pdf
    13 Feb 2023: Infinite Latent Feature Modelsand the Indian Buffet Process. Thomas L. Griffiths Zoubin GhahramaniCognitive and Linguistic Sciences Gatsby Computational Neuroscience UnitBrown University, Providence RI University College London, Londontom
  4. Propagation Algorithms for VariationalBayesian Learning Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/papers/nips00beal.pdf
    27 Jan 2023: Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk http://www.gatsby.ucl.ac.uk. ... 2] M.J. Beal and Z. Ghahramani. The variational Kalman smoother. Technical
  5. Unsupervised Learning Week 2: Latent Variable Models Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/lect2.pdf
    27 Jan 2023: Unsupervised Learning. Week 2: Latent Variable Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  6. Cambridge Machine Learning Group Publications

    https://mlg.eng.cam.ac.uk/pub/authors/
    13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Tameem Adel. George Nicholson, Marta Blangiardo, Mark Briers, Peter J Diggle, Tor Erlend Fjelde, Hong Ge, Robert J B Goudie,
  7. Occam’s Razor Carl Edward RasmussenDepartment of Mathematical…

    https://mlg.eng.cam.ac.uk/zoubin/papers/occam.pdf
    27 Jan 2023: carl@imm.dtu.dk http://bayes.imm.dtu.dk. Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College London17 Queen Square, London WC1N 3AR, England.
  8. Split and Merge EM Algorithm for Improving Gaussian Mixture Density…

    https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha00b.pdf
    13 Feb 2023: ZOUBIN GHAHRAMANI AND GEOFFREY E. HINTONGatsby Computational Neuroscience Unit, University College London, 17 Queen Square, London WC1N 3AR, UK. ... He is currently the director of the Gatsby Com-putational neuroscience Unit at University College London.
  9. Infinite Sparse Factor Analysis and InfiniteIndependent Components…

    https://mlg.eng.cam.ac.uk/zoubin/papers/ica07knowles.pdf
    27 Jan 2023: Technical Report 1, Gatsby Computational Neuroscience Unit (2005). 6. Ghahramani, Z., Griffiths, T., Sollich, P.: Bayesian nonparametric latent featuremodels.
  10. 13 Feb 2023: In many applications, particularly in physical sciences and engineering, but also in areas such as geostatistics and neuroscience, invariance to symmetries is one of the most fundamental forms of prior information
  11. SMEM Algorithm for Mixture Models

    https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha98a.pdf
    13 Feb 2023: Hinton zoubin@gatsby.uc1. ac.uk g.hinton@ucl.ac.uk. Gatsby Computational Neuroscience Unit, University College London 17 Queen Square, London WC1N 3AR, UK.
  12. Forward dynamic models in human motor control: Psychophysical evidence

    https://mlg.eng.cam.ac.uk/pub/pdf/WolGhaJor94a.pdf
    13 Feb 2023: Daniel M. Wolpert and Zoubin Ghahramani are McDonnell-Pew Fellows in Cognitive Neuroscience.
  13. Computational structure of coordinatetransformations: A…

    https://mlg.eng.cam.ac.uk/zoubin/papers/coord.pdf
    27 Jan 2023: Zoubin Ghahramani and Daniel M. Wolpert are McDonnell-PewFellows in Cognitive Neuroscience.
  14. nipsderiv.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/SolMurLeietal03.pdf
    13 Feb 2023: LeithHamilton Institute,National Univ. of. Ireland, Maynooth,Co. Kildare, Irelanddoug.leith@may.ie. C. E. RasmussenGatsby Computational Neuroscience Unit,.
  15. Variational Inference for BayesianMixtures of Factor Analysers Zoubin …

    https://mlg.eng.cam.ac.uk/zoubin/papers/nips99.pdf
    27 Jan 2023: Beal. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk http://www.gatsby.ucl.ac.uk.
  16. nlds-ftp.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/nlds-ftp.pdf
    27 Jan 2023: RoweisGatsby Computational Neuroscience UnitUniversity College LondonLondon WC1N 3AR, U.K.http://www.gatsby.ucl.ac.uk/AbstractThe Expectation{Maximization (EM) algorithm is an iterative pro-cedure for maximum likelihood parameter estimation
  17. main.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/Sch09b.pdf
    13 Feb 2023: 8. References. [1] A. T. Cemgil. Bayesian inference for nonnegative matrixfactorisation models.ComputationalIntelligence and Neuroscience, 2009.
  18. MCMC for doubly-intractable distributions Iain MurrayGatsby…

    https://mlg.eng.cam.ac.uk/zoubin/papers/doubly_intractable.pdf
    27 Jan 2023: MCMC for doubly-intractable distributions. Iain MurrayGatsby Computational. Neuroscience UnitUniversity College London.
  19. zgl.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/zgl.pdf
    27 Jan 2023: Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK.
  20. ibpnips4.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/ibp-nips05.pdf
    27 Jan 2023: Infinite Latent Feature Modelsand the Indian Buffet Process. Thomas L. Griffiths Zoubin GhahramaniCognitive and Linguistic Sciences Gatsby Computational Neuroscience UnitBrown University, Providence RI University College London, Londontom
  21. iMGPE.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/RasGha02.pdf
    13 Feb 2023: Infinite Mixtures of Gaussian Process Experts. Carl Edward RasmussenandZoubin GhahramaniGatsby Computational Neuroscience Unit.

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