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  2. Non-parametric Bayesian Methods Uncertainty in Artificial…

    https://mlg.eng.cam.ac.uk/zoubin/talks/uai05tutorial-b.pdf
    27 Jan 2023: Gatsby Computational Neuroscience Unit1. University College London, UK. Center for Automated Learning and DiscoveryCarnegie Mellon University, USA. ... Gatsby Computational Neuroscience Unit Technical Report GCNU-TR 2005-001. Other. • Müller, P.
  3. Formatting Instructions for NIPS -8-

    https://mlg.eng.cam.ac.uk/zoubin/papers/JinGha02.pdf
    27 Jan 2023: Rong Jin Zoubin Ghahramani† School of Computer Science †Gatsby Computational Neuroscience Unit Carnegie Mellon University University College London Pittsburgh, PA 15213, USA London WC1N 3AR, UK rong@cs.cmu.edu
  4. 27 Jan 2023: Reader in Machine Learning, Oct 2003–Jan 2006Gatsby Computational Neuroscience Unit, University College London, UK. ... Graduate Tutor, Gatsby Computational Neuroscience Unit, 2001-2005. Selection Committee, Chair in Computational Neuroscience, UCL,
  5. 13 Feb 2023: 1Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, U.K.2Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, U.K.3Max Planck Institute for Biological Cybernetics, D-72076 ... Dilan Görür is a
  6. A Nonparametric Bayesian Approach toModeling Overlapping Clusters…

    https://mlg.eng.cam.ac.uk/pub/pdf/HelGha07a.pdf
    13 Feb 2023: A Nonparametric Bayesian Approach toModeling Overlapping Clusters. Katherine A. HellerGatsby Computational Neuroscience Unit.
  7. Compact approximations to Bayesian predictive distributions Edward…

    https://mlg.eng.cam.ac.uk/zoubin/papers/icml05snelson.pdf
    27 Jan 2023: Compact approximations to Bayesian predictive distributions. Edward Snelson snelson@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, Queen Square, London WC1N 3AR, UK. ... Zoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby
  8. LNAI 3720 - $\mathcal{U}$-Likelihood and $\mathcal{U}$-Updating…

    https://mlg.eng.cam.ac.uk/pub/pdf/SunBanCho05a.pdf
    13 Feb 2023: 1 Department of Computer Science,POSTECH, Republic of Korea. {emtidi, sybang, seungjin}@postech.ac.kr2 Gatsby Computational Neuroscience Unit,University College London, 17 Queen Square,.
  9. Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning

    https://mlg.eng.cam.ac.uk/pub/pdf/ZhuKanGha04a.pdf
    13 Feb 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
  10. 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.
  11. Predictive Automatic Relevance Determinationby Expectation…

    https://mlg.eng.cam.ac.uk/zoubin/papers/Qi04.pdf
    27 Jan 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.
  12. 13 Feb 2023: TR2005-001, Gatsby Comp. Neuroscience Unit. Hoffmann, U., Vesin, J.-M., Ebrahimi, T., & Diserens,K.
  13. Correlated Non-Parametric Latent Feature Models Finale Doshi-Velez…

    https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09b.pdf
    13 Feb 2023: 2005). Infinite latent fea-ture models and the Indian buffet process. TR 2005-001,Gatsby Computational Neuroscience Unit.
  14. 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.
  15. Accelerated sampling for the Indian Buffet Process

    https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09a.pdf
    13 Feb 2023: TR2005-001, Gatsby Comp. Neuroscience Unit. Hoffmann, U., Vesin, J.-M., Ebrahimi, T., & Diserens,K.
  16. 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.
  17. Bayesian Learning in Undirected Graphical Models:Approximate MCMC…

    https://mlg.eng.cam.ac.uk/pub/pdf/MurGha04a.pdf
    13 Feb 2023: Bayesian Learning in Undirected Graphical Models:Approximate MCMC algorithms. Iain Murray and Zoubin GhahramaniGatsby Computational Neuroscience Unit.
  18. Bayesian Hierarchical Clustering Katherine A. Heller…

    https://mlg.eng.cam.ac.uk/zoubin/papers/icml05heller.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, UCL, London, WC1N 3AR, UK. ... Gatsby Computa-tional Neuroscience Unit. Kemp, C., Griffiths,
  19. o407_12f 742..747

    https://mlg.eng.cam.ac.uk/zoubin/papers/reza.pdf
    27 Jan 2023: Understanding how the brain constructs movements remains afundamental challenge in neuroscience. ... L. & Ghilardi, M. F. in The New Cognitive Neurosciences (ed.
  20. 13 Feb 2023: However, it hasbeen shown in many research areas, such as computervision, neuroscience and process analysis, that the ob-servational data can also naturally come in the formof multi-dimensional arrays.
  21. Unsupervised Learning A Belief Propagation Demo Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course05/fluffy.pdf
    27 Jan 2023: Unsupervised Learning. A Belief Propagation Demo. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  22. 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.
  23. A Nonparametric Bayesian Approach toModeling Overlapping Clusters…

    https://mlg.eng.cam.ac.uk/zoubin/papers/HelGha07over.pdf
    27 Jan 2023: A Nonparametric Bayesian Approach toModeling Overlapping Clusters. Katherine A. HellerGatsby Computational Neuroscience Unit.
  24. Unsupervised Learning Propagation on Factor Graphs Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/factorprop.pdf
    27 Jan 2023: Unsupervised Learning. Propagation on Factor Graphs. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  25. Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions

    https://mlg.eng.cam.ac.uk/pub/pdf/ZhuGhaLaf03a.pdf
    13 Feb 2023: Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK.
  26. 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
  27. 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.
  28. 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.
  29. 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.
  30. Statistical Models for Partial Membership Katherine A. Heller…

    https://mlg.eng.cam.ac.uk/pub/pdf/HelWilGha08.pdf
    13 Feb 2023: Gatsby Computational Neuroscience Unit. Heller, K., & Ghahramani, Z. (2007). A nonparamet-ric bayesian approach to modeling overlapping clusters.AISTATS.
  31. 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.
  32. uai2006.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/WooGriGha06a.pdf
    13 Feb 2023: Acknowledgments. This work was supported by NIH-NINDS R01 NS50967-01 as part of the NSF/NIH Collaborative Re-search in Computational Neuroscience Program.
  33. 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.
  34. Unsupervised Learning Propagation on Factor Graphs Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course05/factorprop.pdf
    27 Jan 2023: Unsupervised Learning. Propagation on Factor Graphs. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  35. 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.
  36. 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.
  37. /users/joe/src/tops/dvips

    https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha00a.pdf
    13 Feb 2023: Zoubin GhahramaniGeoffrey E. HintonGatsby Computational Neuroscience Unit, University College London, London WC1N3AR, U.K.
  38. 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.
  39. BIOINFORMATICS ORIGINAL PAPER Vol. 21 no. 3 2005, pages ...

    https://mlg.eng.cam.ac.uk/pub/pdf/BeaFalGha05a.pdf
    13 Feb 2023: 453–464. Beal,M.J. (2003) Variational Algorithms for Approximate BayesianInference. PhD Thesis, Gatsby Computational Neuroscience Unit,University College London, UK.
  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.
  41. 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.
  42. 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.
  43. Generalization to Local Remappings of the VisuomotorCoordinate…

    https://mlg.eng.cam.ac.uk/zoubin/papers/genJN.pdf
    27 Jan 2023: Computer Science, University of Toronto, 6 King’s College Road, Pratt 271, To-ronto, Ontario, Canada M5S 3H5.Copyright q 1996 Society for Neuroscience 0270-6474/96/167085-12$05.00/0. ... The Journal of Neuroscience, November 1, 1996, 16(21):7085–7096.
  44. 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.
  45. gppl.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/icml05chuwei-pl.pdf
    27 Jan 2023: Preference Learning with Gaussian Processes. Wei Chu chuwei@gatsby.ucl.ac.ukZoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, London, WC1N 3AR, UK. ... 2004). Gaussian processes forordinal
  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.
  47. aistats2007-ibpsb.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/TehGorGha07.pdf
    27 Jan 2023: Stick-breaking Construction for the Indian Buffet Process. Yee Whye TehGatsby Computational Neuroscience Unit.
  48. Variable noise and dimensionality reduction forsparse Gaussian…

    https://mlg.eng.cam.ac.uk/zoubin/papers/snelson_uai.pdf
    27 Jan 2023: Variable noise and dimensionality reduction forsparse Gaussian processes. Edward SnelsonGatsby Computational Neuroscience Unit.
  49. TCS November 2001, 2nd pages.qxd

    https://mlg.eng.cam.ac.uk/zoubin/papers/WolGhaFla01.pdf
    27 Jan 2023: Recently, these ideas have gainedempirical support in neuroscience with the finding of‘mirror neurones’, which respond both to self-generatedactions and the actions of others60,61.
  50. Local and global sparse Gaussian process approximations Edward…

    https://mlg.eng.cam.ac.uk/zoubin/papers/aistats07localGP.pdf
    27 Jan 2023: Local and global sparse Gaussian process approximations. Edward SnelsonGatsby Computational Neuroscience Unit.
  51. Statistical Models for Partial Membership Katherine A. Heller…

    https://mlg.eng.cam.ac.uk/zoubin/papers/HelWilGha08.pdf
    27 Jan 2023: Gatsby Computational Neuroscience Unit. Heller, K., & Ghahramani, Z. (2007). A nonparamet-ric bayesian approach to modeling overlapping clusters.AISTATS.

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