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  2. 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.
  3. 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,. ... Afurther practical reason is related to the fact that the computational expense of
  4. iMGPE.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/iMGPE.pdf
    27 Jan 2023: Infinite Mixtures of Gaussian Process Experts. Carl Edward RasmussenandZoubin GhahramaniGatsby Computational Neuroscience Unit. ... University College London17 Queen Square, London WC1N 3AR, England.
  5. 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
  6. Warped Gaussian Processes Edward Snelson∗ Carl Edward Rasmussen†…

    https://mlg.eng.cam.ac.uk/pub/pdf/SneRasGha04.pdf
    13 Feb 2023: Warped Gaussian Processes. Edward Snelson Carl Edward Rasmussen† Zoubin Ghahramani. Gatsby Computational Neuroscience UnitUniversity College London. ... 17 Queen Square, London WC1N 3AR, UK{snelson,zoubin}@gatsby.ucl.ac.uk. †Max Planck Institute for
  7. A Probabilistic Model for Online Document Clustering with Application …

    https://mlg.eng.cam.ac.uk/pub/pdf/ZhaGhaYan04a.pdf
    13 Feb 2023: Jian Zhang††School of Computer ScienceCargenie Mellon University. Pittsburgh, PA 15213jian.zhang@cs.cmu.edu. Zoubin Ghahramani†‡‡ Gatsby Computational Neuroscience Unit. ... University College LondonLondon WC1N 3AR, UK. zoubin@gatsby.ucl.ac.uk.
  8. Learning with Multiple Labels

    https://mlg.eng.cam.ac.uk/pub/pdf/JinGha02a.pdf
    13 Feb 2023: rong@es.emu.edu. Zoubin Ghahramanit tGatsby Computational Neuroscience Unit. University College London London WCIN 3AR, UK zoubin@gatsby.ucl.ae.uk.
  9. Draft version; accepted for NIPS*03 Warped Gaussian Processes Edward…

    https://mlg.eng.cam.ac.uk/zoubin/papers/gpwarp.pdf
    27 Jan 2023: Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, UK{snelson,zoubin }@gatsby.ucl.ac.uk. ... Since the computational limiter to a GP is inverting thecovariance matrix, adding a few extra parameters into the
  10. Unsupervised Learning Latent Variable Time Series Models Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect4.pdf
    27 Jan 2023: Unsupervised Learning. Latent Variable Time Series Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. ... Some References for SSMs and HMMs. ZG papers available
  11. The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...

    https://mlg.eng.cam.ac.uk/pub/pdf/BeaGhaRas02.pdf
    13 Feb 2023: Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, Englandhttp://www.gatsby.ucl.ac.uk. ... m.beal,zoubin,edward }@gatsby.ucl.ac.uk. AbstractWe show that it is possible to extend hidden Markov models to
  12. Bayesian Classifier Combination Zoubin Ghahramani and Hyun-Chul Kim∗…

    https://mlg.eng.cam.ac.uk/zoubin/papers/GhaKim03.pdf
    27 Jan 2023: Bayesian Classifier Combination. Zoubin Ghahramani and Hyun-Chul Kim. Gatsby Computational Neuroscience UnitUniversity College LondonLondon WC1N 3AR, UK. ... http://www.gatsby.ucl.ac.uk{zoubin,hckim }@gatsby.ucl.ac.uk. September 8, 2003. Abstract.
  13. Learning Multiple Related Tasks using Latent Independent Component…

    https://mlg.eng.cam.ac.uk/pub/pdf/ZhaGhaYan05a.pdf
    13 Feb 2023: School of Computer Science ‡ Gatsby Computational Neuroscience UnitCargenie Mellon University University College London.
  14. Bayesian Monte Carlo Carl Edward RasmussenandZoubin GhahramaniGatsby…

    https://mlg.eng.cam.ac.uk/zoubin/papers/RasGha03.pdf
    27 Jan 2023: Bayesian Monte Carlo. Carl Edward RasmussenandZoubin GhahramaniGatsby Computational Neuroscience Unit. University College London17 Queen Square, London WC1N 3AR, England. ... 102, Novem-ber 1988, Laboratory for Computational Statistics, Department of
  15. Unsupervised Learning Latent Variable Time Series Models Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course05/lect4time.pdf
    27 Jan 2023: Unsupervised Learning. Latent Variable Time Series Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. ... Some References for SSMs and HMMs. ZG papers available
  16. A Probabilistic Model for Online DocumentClustering with Application…

    https://mlg.eng.cam.ac.uk/zoubin/papers/zgy-nips04.pdf
    27 Jan 2023: Zoubin Ghahramani. Gatsby Computational Neuroscience Unit. University College LondonLondon WC1N 3AR, UK. ... zoubin@gatsby.ucl.ac.uk. Yiming Yang. School of Computer ScienceCargenie Mellon University. Pittsburgh, PA 15213yiming@cs.cmu.edu.
  17. chu.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/ChuGhaKra06a.pdf
    13 Feb 2023: WEI CHU & ZOUBIN GHAHRAMANI. Gatsby Computational Neuroscience Unit,University College London,London, WC1N 3AR, UK. ... E-mail: chuwei,zoubin@gatsby.ucl.ac.uk. ROLAND KRAUSE. Max-Planck-Institute for Molecular GeneticsD-10117 Berlin, Germany. E-mail:
  18. 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 a Lecturer atthe Gatsby Computational Neuroscience Unit at University CollegeLondon, with
  19. nips2007-final.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/SilChuGha08.pdf
    13 Feb 2023: Hidden Common Cause Relations inRelational Learning. Ricardo Silva. Gatsby Computational Neuroscience UnitUCL, London, UK WC1N 3ARrbas@gatsby.ucl.ac.uk. ... Wei ChuCenter for Computational Learning SystemsColumbia University, New York, NY 10115.
  20. zglactive.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/zglactive.pdf
    27 Jan 2023: Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK. ... As a final word on computational efficiency, wenote that after adding query and its answer to , inthe next iteration we will need to compute 8z 0. -
  21. Predictive Automatic Relevance Determinationby Expectation…

    https://mlg.eng.cam.ac.uk/pub/pdf/QiMinPic04a.pdf
    13 Feb 2023: Rosalind W. Picard picard@media.mit.eduMIT Media Laboratory, Cambridge, MA, 02139 USA. Zoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, UCL, 17 Queen Square, London, WC1N 3AR, UK. ... 2.3. Computational Issues. To compute
  22. v7final.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/valencia02.pdf
    27 Jan 2023: MATTHEW J. BEAL and ZOUBIN GHAHRAMANIGatsby Computational Neuroscience Unit, UCL, UK. ... A reasonable comparison should take into account the tradeoff betweenaccuracy and computational complexity.
  23. doi:10.1016/j.patrec.2005.09.027

    https://mlg.eng.cam.ac.uk/pub/pdf/KimKimGha06a.pdf
    13 Feb 2023: c Gatsby Computational Neuroscience Unit, UCL, London WC1N 3AR, UK. Received 11 August 2004; received in revised form 15 September 2005Available online 18 November 2005.
  24. rszg2006e.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/SilGha06a.pdf
    13 Feb 2023: Bayesian Inference for Gaussian Mixed Graph Models. Ricardo Silva. Gatsby Computational Neuroscience UnitUniversity College Londonrbas@gatsby.ucl.ac.uk. ... This workwas funded by the Gatsby Charitable Foundation. References. A. Atay-Kayis and H.
  25. Learning Multiple Related Tasks using LatentIndependent Component…

    https://mlg.eng.cam.ac.uk/zoubin/papers/zgy-nips05.pdf
    27 Jan 2023: School of Computer Science ‡ Gatsby Computational Neuroscience UnitCargenie Mellon University University College London.
  26. nips2007-final.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/SilChuGha08.pdf
    27 Jan 2023: Hidden Common Cause Relations inRelational Learning. Ricardo Silva. Gatsby Computational Neuroscience UnitUCL, London, UK WC1N 3ARrbas@gatsby.ucl.ac.uk. ... Wei ChuCenter for Computational Learning SystemsColumbia University, New York, NY 10115.
  27. Bayesian Sets Zoubin Ghahramani∗ and Katherine A. HellerGatsby…

    https://mlg.eng.cam.ac.uk/zoubin/papers/bsets-nips05.pdf
    27 Jan 2023: Bayesian Sets. Zoubin Ghahramani and Katherine A. HellerGatsby Computational Neuroscience Unit. ... University College LondonLondon WC1N 3AR, U.K. {zoubin,heller}@gatsby.ucl.ac.uk. Abstract. Inspired by “Google Sets”, we consider the problem of
  28. A Simple Bayesian Framework for Content-Based Image Retrieval…

    https://mlg.eng.cam.ac.uk/pub/pdf/HelGha06a.pdf
    13 Feb 2023: Gatsby Computational Neuroscience Unit. University College London. heller@gatsby.ucl.ac.uk. Zoubin Ghahramani. Department of Engineering. ... We still have not described the specific model, p(x|θ),or addressed the issue of computational efficiency of com
  29. Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions

    https://mlg.eng.cam.ac.uk/pub/pdf/ZhuGhaLaf03a.pdf
    13 Feb 2023: ZOUBIN@GATSBY.UCL.AC.UK. John Lafferty. LAFFERTY@CS.CMU.EDUSchool of Computer Science, Carnegie Mellon University, Pittsburgh PA 15213, USA. ... Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK.
  30. Cambridge Machine Learning Group Publications

    https://mlg.eng.cam.ac.uk/pub/authors/
    13 Feb 2023: Abstract: Existing methods for estimating uncertainty in deep learning tend to require multiple forward passes, making them unsuitable for applications where computational resources are limited. ... Abstract: On a mathematical level, most computational
  31. Statistical Models for Partial Membership Katherine A. Heller…

    https://mlg.eng.cam.ac.uk/pub/pdf/HelWilGha08.pdf
    13 Feb 2023: Statistical Models for Partial Membership. Katherine A. Heller heller@gatsby.ucl.ac.ukSinead Williamson saw56@cam.ac.ukZoubin Ghahramani zoubin@eng.cam.ac.ukEngineering Department, University of Cambridge, Cambridge, UK. ... Gatsby Computational
  32. MCMC for doubly-intractable distributions Iain MurrayGatsby…

    https://mlg.eng.cam.ac.uk/pub/pdf/MurGhaMac06a.pdf
    13 Feb 2023: MCMC for doubly-intractable distributions. Iain MurrayGatsby Computational. Neuroscience UnitUniversity College London. ... i.murray@gatsby.ucl.ac.uk. Zoubin GhahramaniDepartment of EngineeringUniversity of Cambridgezoubin@eng.cam.ac.uk. David J. C.
  33. Bayesian Hierarchical Clustering Katherine A. Heller…

    https://mlg.eng.cam.ac.uk/zoubin/papers/bhcnew.pdf
    27 Jan 2023: Bayesian Hierarchical Clustering. Katherine A. Heller heller@gatsby.ucl.ac.uk. Zoubin Ghahramani zoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, University College London17 Queen Square, London, WC1N 3AR, UK. ... The limitations of our
  34. aistats2007-ibpsb.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/TehGorGha07a.pdf
    13 Feb 2023: Stick-breaking Construction for the Indian Buffet Process. Yee Whye TehGatsby Computational Neuroscience Unit. ... University College London17 Queen Square. London WC1N 3AR, UKywteh@gatsby.ucl.ac.uk. Dilan GörürMPI for Biological Cybernetics.
  35. 27 Jan 2023: Gatsby Computational Neuroscience Unit, UCL,London, WC1N 3AR, UK,. hckim,zoubin @gatsby.ucl.ac.uk,http://www.gatsby.ucl.ac.uk. Abstract. ... Finally, although improving computational complexity of GPC learning throughsparsification methods is an
  36. Variational Inference for the Indian Buffet Process Finale…

    https://mlg.eng.cam.ac.uk/pub/pdf/DosMilVanTeh09.pdf
    13 Feb 2023: J. (2003). Variational algorithms for approximatebayesian inference. Doctoral dissertation, Gatsby Com-putational Neuroscience Unit, UCL. ... 2005). Infinite latent fea-ture models and the Indian buffet process. TR 2005-001,Gatsby Computational
  37. Optimization with EM and Expectation-Conjugate-Gradient

    https://mlg.eng.cam.ac.uk/pub/pdf/SalRowGha03b.pdf
    13 Feb 2023: Zoubin Ghahramani ZOUBIN@GATSBY.UCL.AC.UKGatsby Computational Neuroscience Unit, University College London17 Queen Square, London WC1N 3AR, UK.
  38. BIOINFORMATICS ORIGINAL PAPER Vol. 21 no. 3 2005, pages ...

    https://mlg.eng.cam.ac.uk/pub/pdf/BeaFalGha05a.pdf
    13 Feb 2023: dimen-sions may be due to the computational infeasibility of runningnumerous SSMs to cover the cloud of uncertainty in higherthan two dimensions. ... 453–464. Beal,M.J. (2003) Variational Algorithms for Approximate BayesianInference. PhD Thesis, Gatsby
  39. A Simple Bayesian Framework for Content-Based Image Retrieval…

    https://mlg.eng.cam.ac.uk/zoubin/papers/HelGha06.pdf
    27 Jan 2023: Gatsby Computational Neuroscience Unit. University College London. heller@gatsby.ucl.ac.uk. Zoubin Ghahramani. Department of Engineering. ... We still have not described the specific model, p(x|θ),or addressed the issue of computational efficiency of com
  40. On the Convergence of Bound Optimization Algorithms Ruslan…

    https://mlg.eng.cam.ac.uk/pub/pdf/SalRowGha03a.pdf
    13 Feb 2023: rsalakhu,roweis@cs.toronto.edu. Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College London17 Queen Square, London WC1N 3AR, UK. ... zoubin@gatsby.ucl.ac.uk. AbstractMany practitioners who use EM and related al-gorithms complain
  41. rszg2006.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/SilGha06.pdf
    27 Jan 2023: Bayesian Inference for Gaussian Mixed Graph Models. Ricardo Silva. Gatsby Computational Neuroscience UnitUniversity College Londonrbas@gatsby.ucl.ac.uk. ... This workwas funded by the Gatsby Charitable Foundation. References. A. Atay-Kayis and H.
  42. Beam Sampling for the Infinite Hidden Markov Model Jurgen ...

    https://mlg.eng.cam.ac.uk/pub/pdf/VanSaaTehGha08.pdf
    13 Feb 2023: Yee Whye Teh ywteh@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, WC1N 3AR, UK. ... αβkβst1 if k = K 1. For each 1 t T we need to compute O(K)probabilities, hence the Gibbs sampler has an O(TK)computational
  43. A Graphical Model for Protein Secondary Structure Prediction Wei ...

    https://mlg.eng.cam.ac.uk/pub/pdf/ChuGhaWil04a.pdf
    13 Feb 2023: Gatsby Computational Neuroscience Unit, University College London, London, WC1N 3AR, UK. ... L. (2000).Bayesian segmentation of protein secondary structure.Journal of Computational Biology, 7, 233–248.
  44. 1212 nature neuroscience supplement • volume 3 • november ...

    https://mlg.eng.cam.ac.uk/zoubin/papers/natneuro.pdf
    27 Jan 2023: Computational principles ofmovement neuroscience. Daniel M. Wolpert1 and Zoubin Ghahramani2. 1 Sobell Department of Neurophysiology, Institute of Neurology, Queen Square, University College London, London WC1N 3BG, UK 2 Gatsby Computational
  45. Bayesian Learning in Undirected Graphical Models:Approximate MCMC…

    https://mlg.eng.cam.ac.uk/zoubin/papers/uai04murray.pdf
    27 Jan 2023: Bayesian Learning in Undirected Graphical Models:Approximate MCMC algorithms. Iain Murray and Zoubin GhahramaniGatsby Computational Neuroscience Unit. ... 3These test sets are available online:http://www.gatsby.ucl.ac.uk/iam23/04blug/. 4 2 0W. FF. 2 0 2W.
  46. gmpssp.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/icml103.pdf
    27 Jan 2023: A Graphical Model for Protein Secondary Structure Prediction. Wei Chu chuwei@gatsby.ucl.ac.ukZoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, London, WC1N 3AR, UK. ... L. (2000).Bayesian
  47. Nonparametric Transforms of Graph Kernelsfor Semi-Supervised Learning …

    https://mlg.eng.cam.ac.uk/zoubin/papers/ZhuKanGhaLaf04.pdf
    27 Jan 2023: Nonparametric Transforms of Graph Kernelsfor Semi-Supervised Learning. Xiaojin Zhu † Jaz Kandola‡ Zoubin Ghahramani‡† John Lafferty †. †School of Computer Science ‡Gatsby Computational Neuroscience UnitCarnegie Mellon University
  48. book

    https://mlg.eng.cam.ac.uk/zoubin/papers/CGM.pdf
    27 Jan 2023: 2006/06/19 14:19. 1 Conditional Graphical Models. Fernando Pérez-Cruz. Gatsby Computational Neuroscience Unit. ... This simplification allows solving the multi-classification tractablyboth in the needed computational power and in the training sample
  49. Latent-Space Variational Bayes Jaemo Sung, Student Member,…

    https://mlg.eng.cam.ac.uk/pub/pdf/SunGhaBan08.pdf
    13 Feb 2023: confirmed the useful behaviors of the proposed FoLSVB over the. standard VBEM with the same computational cost such as faster. ... Machine LearningResearch, vol. 6, pp. 661-694, 2005. [19] M.J. Beal, “Variational Algorithms for Approximate Bayesian
  50. A New Approach to Data Driven Clustering Arik Azran ...

    https://mlg.eng.cam.ac.uk/zoubin/papers/AzrGhaICML06.pdf
    27 Jan 2023: A New Approach to Data Driven Clustering. Arik Azran arik@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, WC1N 3AR, UK.
  51. Machine Learning Group Publications

    https://mlg.eng.cam.ac.uk/pub/topics/
    13 Feb 2023: D. ) suffice and a method with an overall computational cost of O(N(log N). ... Empirical validation suggests better performance and drastically improved computational scalablity compared with its predecessor, Improved GP-UCB.

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