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  2. Unsupervised Learning The EM Algorithm Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/lect3.pdf
    27 Jan 2023: Unsupervised Learning. The EM Algorithm. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  3. Unsupervised Learning Bayesian Model Comparison Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course05/lect9ms.pdf
    27 Jan 2023: Unsupervised Learning. Bayesian Model Comparison. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  4. Week 3: The EM algorithm Maneesh Sahanimaneesh@gatsby.ucl.ac.uk…

    https://mlg.eng.cam.ac.uk/zoubin/course05/lect3.pdf
    27 Jan 2023: Week 3: The EM algorithm. Maneesh Sahanimaneesh@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience UnitUniversity College London.
  5. 13 Feb 2023: Technical Report 1, Gatsby Computational Neuroscience Unit (2005). 6. Ghahramani, Z., Griffiths, T., Sollich, P.: Bayesian nonparametric latent featuremodels.
  6. 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.
  7. Graphical models: parameter learning Zoubin Ghahramani Gatsby…

    https://mlg.eng.cam.ac.uk/zoubin/course04/hbtnn2e-II.pdf
    27 Jan 2023: Graphical models: parameter learning. Zoubin Ghahramani. Gatsby Computational Neuroscience Unit. University College London. ... Computational Statistics and Data Analysis, 19:177–189. Jordan, M. I., editor (1998).
  8. Graphical models: parameter learning Zoubin Ghahramani Gatsby…

    https://mlg.eng.cam.ac.uk/zoubin/course03/hbtnn2e-II.pdf
    27 Jan 2023: Graphical models: parameter learning. Zoubin Ghahramani. Gatsby Computational Neuroscience Unit. University College London. ... Computational Statistics and Data Analysis, 19:177–189. Jordan, M. I., editor (1998).
  9. Unsupervised Learning Week 1: Introduction, Statistical Basics,and a…

    https://mlg.eng.cam.ac.uk/zoubin/course04/lect1.pdf
    27 Jan 2023: Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  10. Nested sampling for Potts models

    https://mlg.eng.cam.ac.uk/pub/pdf/MurMacGha05a.pdf
    13 Feb 2023: Nested sampling for Potts models. Iain MurrayGatsby Computational Neuroscience Unit. University College Londoni.murray@gatsby.ucl.ac.uk. ... David J.C. MacKayCavendish Laboratory. University of Cambridgemackay@mrao.cam.ac.uk. Zoubin GhahramaniGatsby
  11. Occam’s Razor Carl Edward RasmussenDepartment of Mathematical…

    https://mlg.eng.cam.ac.uk/pub/pdf/RasGha01.pdf
    13 Feb 2023: carl@imm.dtu.dk http://bayes.imm.dtu.dk. Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College London17 Queen Square, London WC1N 3AR, England.
  12. Propagation Algorithms for VariationalBayesian Learning Zoubin…

    https://mlg.eng.cam.ac.uk/pub/pdf/GhaBea00a.pdf
    13 Feb 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
  13. mfdt.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/AdaStoWil00a.pdf
    13 Feb 2023: Amos J StorkeyDivision of Informatics. University of Edinburgh,UKa.storkey@ed.ac.uk. Zoubin GhahramaniGatsby Computational Neuroscience Unit. ... This was achieved with a considerablesaving in computational effort and comes close to makingreal time
  14. 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.
  15. 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
  16. 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
  17. 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.
  18. 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.
  19. nlds-final.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/GhaRow98a.pdf
    13 Feb 2023: Roweis. Gatsby Computational Neuroscience UnitUniversity College LondonLondon WC1N 3AR, U.K. http://www.gatsby.ucl.ac.uk/.
  20. Learning to Parse Images

    https://mlg.eng.cam.ac.uk/pub/pdf/HinGhaTeh99a.pdf
    13 Feb 2023: Hinton and Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College LondonLondon, United Kingdom WC1N 3ARfhinton,zoubing@gatsby.ucl.ac.uk. ... 3] D. Marr. Vision : A Computational Investigation into the Human Representationand
  21. Randomized Algorithms for Fast Bayesian Hierarchical Clustering…

    https://mlg.eng.cam.ac.uk/zoubin/papers/ranbhc.pdf
    27 Jan 2023: Randomized Algorithms for Fast Bayesian Hierarchical Clustering. Katherine A. Heller and Zoubin GhahramaniGatsby Computational Neuroscience Unit. ... countably infinite) mixture model (DPM). While the original BHCalgorithm has O(n2) computational
  22. Bayesian Learning of Model Structure Zoubin GhahramaniGatsb y…

    https://mlg.eng.cam.ac.uk/zoubin/talks/cmu-talk.pdf
    27 Jan 2023: Application Areas. computational molecular biology financial time series prediction speech and video processing analysis of functional neuro-imaging data. ... computational neuroscience.
  23. main.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/SchWinHan09.pdf
    13 Feb 2023: Since the modes of the conditional densities have closed-formexpressions, the ICM algorithm has a low computational cost per iteration. ... Computational Intelligence and Neuroscience 2008 (Feb 2008). 12. Graham, D.B., Allinson, N.M.: Characterizing
  24. 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.
  25. 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.
  26. 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
  27. 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.
  28. 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
  29. 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
  30. 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.
  31. 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
  32. 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
  33. 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. ... 1. Initialize indicator variables i to a single value (or a few values if individual GPsare to be kept small for
  34. Bayesian Sets Zoubin Ghahramani∗ and Katherine A. HellerGatsby…

    https://mlg.eng.cam.ac.uk/pub/pdf/GhaHel06.pdf
    13 Feb 2023: Bayesian Sets. Zoubin Ghahramani and Katherine A. HellerGatsby Computational Neuroscience Unit.
  35. The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...

    https://mlg.eng.cam.ac.uk/zoubin/papers/ihmm.pdf
    27 Jan 2023: Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, Englandhttp://www.gatsby.ucl.ac.uk.
  36. 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. ... 1. Initialize indicator variables i to a single value (or a few values if individual GPsare to be kept small for
  37. 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.
  38. Unsupervised Learning Variational Approximations Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course05/lect7var.pdf
    27 Jan 2023: Unsupervised Learning. Variational Approximations. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  39. 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
  40. 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. ... For in-stance, obtaining a single labeled example for protein shapeclassification, which is one of the grand challenges of bio-logical and computational science,
  41. 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.
  42. 13 Feb 2023: Many existing algorithms restart training for each new hyperparameter choice, at considerable computational cost. ... We compare this scheme against natural baselines in literature along with stochastic variational GPs (SVGPs) along with an extensive
  43. 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. ... Since the computational limiter to a GP is inverting thecovariance matrix, adding a few extra
  44. 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.
  45. 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.
  46. 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.
  47. 13 Feb 2023: MIT Press. Schmidt, M., & Laurberg, H. (2008). Nonnegativematrix factorization with gaussian process priors.Computational Intelligence and Neuroscience, 2008.10.1155/2008/361705. ... Smith, S. P. (1995). Differentiation of the choleskyalgorithm.
  48. Zoubin Ghahramani Papers Available

    https://mlg.eng.cam.ac.uk/zoubin/papers.html
    27 Jan 2023: IEEE/ACM Transactions on Computational Biology and Bioinformatics, 1. Knowles, D. and Ghahramani, Z. ... Computational Principles of Movement Neuroscience.
  49. Unsupervised Learning Graphical Models Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/lect5gm.pdf
    27 Jan 2023: Unsupervised Learning. Graphical Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.
  50. 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.
  51. 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.

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