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201 - 250 of 323 search results for scholarships page |u:mlg.eng.cam.ac.uk where 7 match all words and 316 match some words.

  1. Results that match 1 of 2 words

  2. Bayesian Sets Zoubin Ghahramani∗ and Katherine A. HellerGatsby…

    https://mlg.eng.cam.ac.uk/pub/pdf/GhaHel06.pdf
    13 Feb 2023: Depending on the application, the set D may consist of web pages, movies, people,words, proteins, images, or any other object we may wish to form queries on. ... G.RATSCH PAGES M.JORDAN MIXTURE B.RAVINDRAN REWARDSR.WILLIAMSON MACHINES N.LAWRENCE

  3. Nested sampling for Potts models

    https://mlg.eng.cam.ac.uk/pub/pdf/MurMacGha05a.pdf
    13 Feb 2023: von Toussaint,editors, Bayesian inference and maximum entropy methods in science and engineering,AIP Conference Proceeedings 735, pages 395–405, 2004. ... Jerrum. The Swendsen-Wang process does not alwaysmix rapidly. In 29th ACM Symposium on Theory of

  4. Uprooting and Rerooting Higher-Order GraphicalModels Mark…

    https://mlg.eng.cam.ac.uk/adrian/uprooting-higher-order.pdf
    16 Jul 2024: Weiss. Constructing free-energy approximations and generalized beliefpropagation algorithms. IEEE Trans. Information Theory, pages 2282–2312, 2005.

  5. Unsupervised Learning Lecture 6: Hierarchical and Nonlinear Models…

    https://mlg.eng.cam.ac.uk/zoubin/course04/lect6hier.pdf
    27 Jan 2023: MIT Press. Also available from my web page. 5. Ghahramani, Z.

  6. Practical Probabilistic Programming with Monads

    https://mlg.eng.cam.ac.uk/pub/pdf/SciGhaGor15.pdf
    13 Feb 2023: Practical Probabilistic Programming with Monads. Adam ŚcibiorUniversity of Cambridge, UK. ams240@cam.ac.uk. Zoubin GhahramaniUniversity of Cambridge, UK. zoubin@eng.cam.ac.uk. Andrew D. GordonMicrosoft Research, UK. and University of Edinburgh,

  7. chu05a.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/chu05a.pdf
    27 Jan 2023: Journal of Machine Learning Research 6 (2005) 1019–1041 Submitted 11/04; Revised 3/05; Published 7/05. Gaussian Processes for Ordinal Regression. Wei Chu CHUWEI@GATSBY.UCL.AC.UKZoubin Ghahramani ZOUBIN@GATSBY.UCL.AC.UKGatsby Computational

  8. Marc P. Deisenroth, Carl E. Rasmussen, and Jan Peters: ...

    https://mlg.eng.cam.ac.uk/pub/pdf/DeiRasPet08.pdf
    13 Feb 2023: pages 19–24, Bruges, Belgium, April 2008. Model-Based Reinforcement Learning withContinuous States and Actions.

  9. G:\bioinformatics\ISMB\btq210.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/SavGhaGrietal10.pdf
    13 Feb 2023: [11:20 12/5/2010 Bioinformatics-btq210.tex] Page: i158 i158–i167. BIOINFORMATICS Vol. 26 ISMB 2010, pages i158–i167doi:10.1093/bioinformatics/btq210. ... 11:20 12/5/2010 Bioinformatics-btq210.tex] Page: i163 i158–i167. Discovering transcriptional

  10. Unsupervised Learning Lecture 6: Hierarchical and Nonlinear Models…

    https://mlg.eng.cam.ac.uk/zoubin/course05/lect6hier.pdf
    27 Jan 2023: MIT Press. Also available from my web page. 5. Ghahramani, Z.

  11. Data-Efficient Reinforcement Learning inContinuous State-Action…

    https://mlg.eng.cam.ac.uk/pub/pdf/McaRas17.pdf
    13 Feb 2023: International Conference on Machine learning, pages 697–704, 2006. [11] Carl Rasmussen and Chris Williams. ... In International Conference Robotics and Automation, pages 5998–6005,2014. 10. A The cartpole system.

  12. Bayesian and L1 Approaches for Sparse Unsupervised Learning Shakir ...

    https://mlg.eng.cam.ac.uk/pub/pdf/MohHelGha12.pdf
    13 Feb 2023: Schapire. A generalizationof principal components to the exponential family. InNIPS 14, pages 617 – 624, 2002. ... Bayesian inferenceand optimal design in the sparse linear model. In AIS-TATS 11, pages 444–451, 2007.

  13. Optimization with EM and Expectation-Conjugate-Gradient

    https://mlg.eng.cam.ac.uk/pub/pdf/SalRowGha03b.pdf
    13 Feb 2023: InAdvances in neural information processing systems, vol-ume 10, pages 626–632, Cambridge, MA, 1998. ... In Proceedings of the Royal Societyof London, pages 359–366, 1998. [18] L.

  14. Gaussian Process Change Point Models

    https://mlg.eng.cam.ac.uk/pub/pdf/SaaTurRas10.pdf
    13 Feb 2023: Forfinancial returns the iid assumption within a regime. 7http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/Data_Library/det_30_ind_port.html. is quite reasonable, so as expected the

  15. standalone.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/QuiRasWil07.pdf
    13 Feb 2023: Approximation Methods for. Gaussian Process Regression. Joaquin Quiñonero-Candela. Applied Games, Microsoft Research Ltd. 7 J J Thomson Avenue, CB3 0FB Cambridge, UK. joaquinc@microsoft.com. Carl Edward Ramussen. Max Planck Institute for

  16. Pitman-Yor Diffusion Trees David A. Knowles, Zoubin…

    https://mlg.eng.cam.ac.uk/pub/pdf/KnoGha11a.pdf
    13 Feb 2023: In Proceedings of the NationalAcademy of Sciences, volume 105(31), pages 10687–10692. ... In Proceed-ings of the 21st International Conference on Compu-tational Linguistics, page 992.

  17. 4F13 Machine Learning: Coursework #2: Gibbs Sampling Zoubin…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/cw/coursework2.pdf
    19 Nov 2023: Your solution should not exceed 6 pages. a) 10% : Gibbs sampling relies on computing conditional probabilities of certain variables given all other variables(read section 29.5 in MacKay's textbook

  18. 4F13 Machine Learning: Coursework #2: Gibbs Sampling Zoubin…

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/cw/coursework2.pdf
    19 Nov 2023: Your solution should not exceed 6 pages. a) 10% : Gibbs sampling relies on computing conditional probabilities of certain variables given all other variables(read section 29.5 in MacKay’s textbook

  19. Bayesian HC research talk

    https://mlg.eng.cam.ac.uk/zoubin/p8-07/lect4s.ppt
    27 Jan 2023: We could call this problem ‘clustering on demand’. Assume a universe of objects (D) which could be images, web pages, documents, movies, proteins, or any other object we wish to form

  20. Nested sampling for Potts models Iain MurrayGatsby Computational…

    https://mlg.eng.cam.ac.uk/zoubin/papers/nips05nested.pdf
    27 Jan 2023: von Toussaint,editors, Bayesian inference and maximum entropy methods in science and engineering,AIP Conference Proceeedings 735, pages 395–405, 2004. ... Jerrum. The Swendsen-Wang process does not alwaysmix rapidly. In 29th ACM Symposium on Theory of

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

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect2.pdf
    27 Jan 2023: Suggested Readings. • David MacKay’s Textbook http://wol.ra.phy.cam.ac.uk/itprnn/book.ps.gz, chapter 21, pages 295-306,draft 2.2.4, August 31, 2001. •

  22. Non-conjugate Variational Message Passing forMultinomial and Binary…

    https://mlg.eng.cam.ac.uk/pub/pdf/KnoMin11.pdf
    13 Feb 2023: Ishikawa, K. Doya, H. Miyamoto, and T. Yamakawa, editors, ICONIP (2),volume 4985 of Lecture Notes in Computer Science, pages 305–314. ... In B. Schölkopf,J. C. Platt, and T. Hoffman, editors, Advances in Neural Information Processing (NIPS) 19,pages

  23. Reinforcement Learning with Reference Tracking Controlin Continuous…

    https://mlg.eng.cam.ac.uk/pub/pdf/HalRasMac11.pdf
    13 Feb 2023: In In Proceedings of the IEEEConference on Acoustics, Speech, and Signal Processing (ICASSP03),volume 2, pages 701–704, Hong Kong, April 2003. ... Probabilistic inference for fastlearning in control. In Recent Advances in Reinforcement Learning:8th

  24. analogy-aistats2007.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/SilHelGha07a.pdf
    13 Feb 2023: However, these otherpages were for some reason course pages - such ashttp://www.cs.wisc.edu/markhill/cs752.html. ... Learning toextract symbolic knowledge from the World WideWeb. Proceedings of AAAI’98, pages 509–516, 1998.

  25. Graphical models: parameter learning Zoubin Ghahramani Gatsby…

    https://mlg.eng.cam.ac.uk/zoubin/course04/hbtnn2e-II.pdf
    27 Jan 2023: K.,. Dietterich, T. G., and Tresp, V., editors, Advances in Neural Information Processing Systems, volume 13, pages. ... Joint Conf. on Artificial Intelligence, pages 1146–1152. Teh, Y. W. and Welling, M.

  26. Graphical models: parameter learning Zoubin Ghahramani Gatsby…

    https://mlg.eng.cam.ac.uk/zoubin/course03/hbtnn2e-II.pdf
    27 Jan 2023: K.,. Dietterich, T. G., and Tresp, V., editors, Advances in Neural Information Processing Systems, volume 13, pages. ... Joint Conf. on Artificial Intelligence, pages 1146–1152. Teh, Y. W. and Welling, M.

  27. Variational Inference for BayesianMixtures of Factor Analysers Zoubin …

    https://mlg.eng.cam.ac.uk/zoubin/papers/nips99.pdf
    27 Jan 2023: Bishop,editor, Neural Networks and Machine Learning, pages 97–129. Springer-Verlag, 1998. [7] C.E.

  28. Bayesian Knowledge Corroboration with LogicalRules and User Feedback…

    https://mlg.eng.cam.ac.uk/pub/pdf/KasVanGraHer10.pdf
    13 Feb 2023: Information Source Uncertainty There is also uncertainty related to theWeb pages from which the knowledge was extracted. ... Many Web pages maybe unauthoritative on specific topics and contain unreliable information.For example, contrary to Michael

  29. Variational Inference for the Indian Buffet Process Finale…

    https://mlg.eng.cam.ac.uk/pub/pdf/DosMilVanTeh09.pdf
    13 Feb 2023: Acknowledgments. FD was supported by a Marshall scholarship. KTM wassupported by contract DE-AC52-07NA27344 from the U.S.Department of Energy through Lawrence Livermore Na-tional Laboratory. ... JVG was supported by a Microsoft Re-search scholarship.

  30. 4F13 Machine Learning: Coursework #2: Variational and Sampling…

    https://mlg.eng.cam.ac.uk/teaching/4f13/0809/cw/coursework2.pdf
    19 Nov 2023: Your solution should not exceed 7 pages. 5% Gibbs sampling relies on computing conditional probabilities of certain variables given all other variables (read section29.5 in MacKay's textbook if you

  31. LNAI 3944 - Evaluating Predictive Uncertainty Challenge

    https://mlg.eng.cam.ac.uk/pub/pdf/QuiRasSinetal06.pdf
    13 Feb 2023: Fig. 3. Screenshot of the website’s result page. determine the actual HTML code. ... That way new pages can easily be integratedin or removed from the existing website structure.

  32. Bayesian Learning in Undirected Graphical Models:Approximate MCMC…

    https://mlg.eng.cam.ac.uk/pub/pdf/MurGha04a.pdf
    13 Feb 2023: In UAI-2000, pages 626–633. Morgan Kauf-mann Publishers, 2000. [15] Jonathan S. ... Yedidia, William T. Freeman, and YairWeiss. Generalized belief propagation. In NIPS 13,pages 689–695.

  33. The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...

    https://mlg.eng.cam.ac.uk/zoubin/papers/ihmm.pdf
    27 Jan 2023: In. S. J. Hanson, J. D. Cowan, and C. L. Giles, editors,Advances in Neural Information ProcessingSystems 5, pages 11–18, San Francisco, CA, 1993.

  34. v7final.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/valencia02.pdf
    27 Jan 2023: In Proc. 12th Conf. on Uncertainty in Artificial Intelligence.(UAI ’96), pages 158–68. ... In Jordan, M. I., editor, Learning in Graphical Models, pages 355–369.

  35. A Bayesian Approach to Modeling Uncertainty inGene Expression…

    https://mlg.eng.cam.ac.uk/zoubin/papers/icsb2002_full.pdf
    27 Jan 2023: Solla, T. K. Leen, and K.-R. Muller,editors, Advances in Neural Information ProcessingSystems 12, pages 554–560.

  36. ibpnips4.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/ibp-nips05.pdf
    27 Jan 2023: In M. Rizvi,J. Rustagi, and D. Siegmund, editors,Recent advances in statistics, pages 287–302. ... InÉcole d’́et́e de probabilit́es de Saint-Flour,XIII—1983, pages 1–198. Springer, Berlin, 1985.

  37. chaptertr.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/advmf.pdf
    27 Jan 2023: Touretzky, and T.K.Leen, editors, Advan es in Neural Information Pro essing Systems 7, pages 617{624. ... J. Royal Statisti al So iety B, pages 157{224, 1988.[22 D.

  38. Tree-Structured Stick Breaking for Hierarchical Data Ryan Prescott…

    https://mlg.eng.cam.ac.uk/pub/pdf/AdaGhaJor10.pdf
    13 Feb 2023: In Advances in Neural. Information Processing Systems 12, pages 680–686. 2000.[2] Radford M. ... 7, pages 619–629, 2003.[3] Katherine A. Heller and Zoubin Ghahramani. Bayesian hierarchical clustering.

  39. coverage.eps

    https://mlg.eng.cam.ac.uk/pub/pdf/SilHelGhaetal10.pdf
    13 Feb 2023: 1998). Web-pages are classified as being of type course, department, faculty, project, staff,student or other. ... However, these other pages were for somereason course pages - such as http://www.cs.wisc.edu/markhill/cs752.html.

  40. A Comparison of Human and Agent Reinforcement Learningin Partially ...

    https://mlg.eng.cam.ac.uk/pub/pdf/DosGha11.pdf
    13 Feb 2023: AcknowledgmentsFinale Doshi-Velez was funded by the Marshall Scholarship.Additional funds were provided by the Computational andBiological Learning Laboratory at Cambridge University.

  41. Continuous Relaxations for Discrete Hamiltonian Monte Carlo

    https://mlg.eng.cam.ac.uk/pub/pdf/ZhaSutSto12a.pdf
    13 Feb 2023: Weinberger, editors,Advances in Neural Information Processing Systems 24, pages 2744–2752. 2011. ... els. In D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, editors, Advances in Neural InformationProcessing Systems 21, pages 1137–1144.

  42. Bayesian Sets Zoubin Ghahramani∗ and Katherine A. HellerGatsby…

    https://mlg.eng.cam.ac.uk/zoubin/papers/bsets-nips05.pdf
    27 Jan 2023: Depending on the application, the set D may consist of web pages, movies, people,words, proteins, images, or any other object we may wish to form queries on. ... G.RATSCH PAGES M.JORDAN MIXTURE B.RAVINDRAN REWARDSR.WILLIAMSON MACHINES N.LAWRENCE

  43. Consistent Kernel Mean Estimationfor Functions of Random Variables…

    https://mlg.eng.cam.ac.uk/pub/pdf/SimSciToletal16.pdf
    13 Feb 2023: K. McKinley. Programming the world of uncertain things (keynote). In ACM SIGPLAN-SIGACT Symposium onPrinciples of Programming Languages, pages 1–2, 2016. ... It is knownthat W s2 (Rd) = Bs2,2(Rd) for 0 < s < (Adams and Fournier, 2003, Page 255), where

  44. A reversible infinite HMM using normalised random measures

    https://mlg.eng.cam.ac.uk/pub/pdf/PalKnoGha14.pdf
    13 Feb 2023: Advances in NeuralInformation Processing Systems 14, pages 577–584. Becker, J. D., Honerkamp, J., Hirsch, J., Fröbe, U., Schlat-ter, E., and Greger, R. ... In Proceedings of the 25th International Con-ference on Machine Learning, ICML ’08, pages

  45. Graphical models: parameter learning Zoubin Ghahramani Gatsby…

    https://mlg.eng.cam.ac.uk/zoubin/papers/graphical-models02.pdf
    27 Jan 2023: K.,. Dietterich, T. G., and Tresp, V., editors, Advances in Neural Information Processing Systems, volume 13, pages. ... Joint Conf. on Artificial Intelligence, pages 1146–1152. Teh, Y. W. and Welling, M.

  46. Warped Gaussian Processes Edward Snelson∗ Carl Edward Rasmussen†…

    https://mlg.eng.cam.ac.uk/pub/pdf/SneRasGha04.pdf
    13 Feb 2023: In C. M. Bishop, editor, Neural Networksand Machine Learning, NATO ASI Series, pages 133–166.

  47. Draft version; accepted for NIPS*03 Warped Gaussian Processes Edward…

    https://mlg.eng.cam.ac.uk/zoubin/papers/gpwarp.pdf
    27 Jan 2023: In C. M. Bishop, editor,Neural Networksand Machine Learning, NATO ASI Series, pages 133–166.

  48. aistats2007-ibpsb.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/TehGorGha07a.pdf
    13 Feb 2023: REFERENCES. [1] D. Aldous. Exchangeability and related topics. InÉcole d’Été de Probabilit́es de Saint-Flour XIII–1983, pages 1–198. ... InPractical Nonparametric andSemiparametric Bayesian Statistics, pages 227–242.Springer-Verlag, 1998.

  49. Discovering temporal patterns of differential geneexpression in…

    https://mlg.eng.cam.ac.uk/pub/pdf/SteDenMcHetal09.pdf
    13 Feb 2023: E. Rasmussen and Z. Ghahramani. Infinite Mixtures of Gaussian Process Experts.In Advances in Neural Information Processing Systems, volume 13, pages 881–888.MIT Press, 2001.

  50. Metropolis Algorithms for Representative Subgraph Sampling Christian…

    https://mlg.eng.cam.ac.uk/pub/pdf/HueBorKriGha08.pdf
    13 Feb 2023: In Biometrika. 57, pages 97–109, 1970. [6] S. Itzkovitz, R. Milo, N. ... Optimization bysimulated annealing. In Science, Volume 220, Number 4598,pages 671–680, 1983.

  51. Local and global sparse Gaussian process approximations Edward…

    https://mlg.eng.cam.ac.uk/zoubin/papers/aistats07localGP.pdf
    27 Jan 2023: of the 20th ACM symp. onTheory of comp., pages 434–444. ACM Press, 1988. ... Efficient kernelmachines using the improved fast gauss transform. InNIPS 17, pages 1561–1568.

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