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  2. 4F13 Machine Learning: Coursework #3: Probabilistic Ranking Carl…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1112/cw/coursework3.pdf
    19 Nov 2023: Hand in a maximum of 5 pages. a) 10% : Examine the data in tennis_data.mat.
  3. 4F13 Probabilistic Machine Learning: Coursework #1: Gaussian…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1617/cw/coursework1.pdf
    19 Nov 2023: Each question should be labelledand answered separately and distinctly. Hand in a maximum of 5 pages.
  4. 4F13 Machine Learning: Coursework #1: Gaussian Processes Zoubin…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1516/cw/coursework1.pdf
    19 Nov 2023: Each question should be labelledand answered separately and distinctly. Hand in a maximum of 5 pages.
  5. 4F13 Machine Learning: Coursework #1: Message Passing in Factor ...

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/cw/coursework1.pdf
    19 Nov 2023: Your solution should notexceed 5 pages. The number of variables in the graph is N = 6 and the number of factors is K = 5.
  6. Relational Learning with Gaussian Processes Wei ChuCCLS Columbia…

    https://mlg.eng.cam.ac.uk/zoubin/papers/relationalgp.pdf
    27 Jan 2023: These pages have beenmanually classified into seven categories: student, course, faculty, staff, department, project andother. ... page. Note there are no “neg-ative” linkages in this case. We considered two classification tasks, student vs.
  7. From Parity to Preference-based Notionsof Fairness in Classification…

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS17-from-parity-to-preference.pdf
    16 Jul 2024: 9. References[1] Stop, Question and Frisk Data. http://www1.nyc.gov/site/nypd/stats/reports-analysis/stopfrisk.page, 2017. [2] Adult data.
  8. chu05a.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/ChuGha05a.pdf
    13 Feb 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
  9. Statistical Approaches to Learning and Discovery Bayesian Model…

    https://mlg.eng.cam.ac.uk/zoubin/SALD/week14ms.pdf
    27 Jan 2023: of Toronto, 23 pages. ... of Computer Science,University of Toronto, 22 pages. 12. Rasmussen, C. E.
  10. Unsupervised Learning Lecture 6: Hierarchical and Nonlinear Models…

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect6hier.pdf
    27 Jan 2023: MIT Press. Also available from my web page. 5. Ghahramani, Z.
  11. The Unreasonable Effectiveness of StructuredRandom Orthogonal…

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS17-unreasonable-effectiveness.pdf
    16 Jul 2024: In Acoustics, Speech and SignalProcessing (ICASSP), 2014 IEEE International Conference on, pages 1650–1654. ... Holtmann-Rice, and S. Kumar. Orthogonal random features. In NIPS,pages 1975–1983, 2016.
  12. ibpnips4.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/GriGha06.pdf
    13 Feb 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.
  13. Adaptive Sequential Bayesian Change Point Detection Ryan…

    https://mlg.eng.cam.ac.uk/pub/pdf/TurSaaRas09.pdf
    13 Feb 2023: 1The data can be found at http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/Data_Library/det_30_ind_port.html. 3. Date (years). Run.
  14. ICML-Presentation

    https://mlg.eng.cam.ac.uk/zoubin/talks/ICML-Presentation.pdf
    27 Jan 2023: http://videolectures.net/icml07. Suggestions from audience.• web site should have proceedings page. numbers.
  15. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0809/lect01.pdf
    19 Nov 2023: Mixture modelling (or. www.csse.monash.edu.au/dld/mixture.modelling.page.html - 26k - 4 Oct 2004 - Cached - Similar pages. ... www.lans.ece.utexas.edu/ulg/ - 14k - Cached - Similar pages. Result Page: 1 2 3 4 5 6 7 8 9 10 Next.
  16. 4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1617/cw/coursework3.pdf
    19 Nov 2023: Hand in a maximum of 5 pages; eachquestion should be labelled and answered separately and distinctly.
  17. 4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1516/cw/coursework3.pdf
    19 Nov 2023: Hand in a maximum of 5 pages; eachquestion should be labelled and answered separately and distinctly.
  18. 4F13 Machine Learning: Coursework #1: Gaussian Processes Carl Edward…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1415/cw/coursework1.pdf
    19 Nov 2023: Hand in a maximum of 5 pages. a) 10% : Load data from cw1d.mat.
  19. 4F13 Machine Learning: Coursework #2: Probabilistic Ranking Carl…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1314/cw/coursework2.pdf
    19 Nov 2023: Hand in a maximum of 5 pages. a) 10% : Examine the data in tennis_data.mat.
  20. 4F13 Machine Learning: Coursework #1: Message Passing in Factor ...

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/cw/coursework1.pdf
    19 Nov 2023: Your solution should notexceed 5 pages. The number of variables in the graph is N = 6 and the number of factors is K = 5.
  21. Human Perceptions of Fairness in Algorithmic Decision Making: A Case…

    https://mlg.eng.cam.ac.uk/adrian/WWW18-HumanPerceptions.pdf
    16 Jul 2024: ACM, New York, NY, USA,10 pages. https://doi.org/10.1145/3178876.3186138. 1 INTRODUCTIONAlgorithms trained over data about past decisions are increasinglyused to assist or replace human decision making
  22. obsnys3.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/WilRasSchTre02.pdf
    13 Feb 2023: M. et al., editors, Bayesian statisti s 6, pages 475{501. Oxford UniversityPress.Poggio, T. ... G., and Tresp, V., editors, Advan es in Neural Information Pro essingSystems 13, pages 619{625.
  23. Unsupervised and Constrained Dirichlet Process Mixture Models for…

    https://mlg.eng.cam.ac.uk/pub/pdf/VlaKorGha09.pdf
    13 Feb 2023: In Proceedingsof the 3rd International Conference on LanguageResources and Evaluation, pages 1499–1504. ... In Proceedings of the COLING-ACL, pages 345–352. Daniel D. Lee and Sebastian H.
  24. workshop_abstract.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/WilGha08.pdf
    13 Feb 2023: general applicability - for example, jointly modeling web page content and linkstructure; jointly modeling image properties and associated text; jointly modeling the textand the citation structure of scientific papers.
  25. Beyond Distributive Fairness in Algorithmic Decision Making: Feature…

    https://mlg.eng.cam.ac.uk/adrian/AAAI18-BeyondDistributiveFairness.pdf
    16 Jul 2024: Beyond Distributive Fairness in Algorithmic Decision Making:Feature Selection for Procedurally Fair Learning. Nina Grgić-Hlača1, Muhammad Bilal Zafar1, Krishna P. Gummadi1, Adrian Weller2,3,41Max Planck Institute for Software Systems (MPI-SWS),
  26. rottpap.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/MurSbaRasGir03.pdf
    13 Feb 2023: D.J.C. MacKay. Introduction to Monte Carlo methods.In M. I. Jordan, editor,Learning and Inference inGraphical Models, pages 175–204. ... In M. I. Jordan, editor,Learning and Infer-ence in Graphical Models, pages 599–621.
  27. Leader Stochastic Gradient Descent for DistributedTraining of Deep…

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS2019_LSGD_preprint.pdf
    16 Jul 2024: Proceedings of the 30th Syposium on Parallelism in Algorithms and Architectures,pages 77–86, 2018. ... Q. Weinberger, editors, Advances in NeuralInformation Processing Systems 27, pages 2933–2941.
  28. nipsderiv.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/SolMurLeietal03.pdf
    13 Feb 2023: F. M. Smith, editors, Bayesian Statistics 4, pages 345–363. Oxford University Press,1992. ... In European Control Con-ference, Karlsruhe, 1999, pages BA–14, 1999. [8] R.
  29. Relational Learning with Gaussian Processes Wei ChuCCLS Columbia…

    https://mlg.eng.cam.ac.uk/pub/pdf/ChuSinGhaetal07.pdf
    13 Feb 2023: These pages have beenmanually classified into seven categories: student, course, faculty, staff, department, project andother. ... page. Note there are no “neg-ative” linkages in this case. We considered two classification tasks, student vs.
  30. Geometrically Coupled Monte Carlo Sampling Mark Rowland∗University of …

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS18-gcmc.pdf
    16 Jul 2024: In Proceedings of the SixthBerkeley Symposium on Mathematical Statistics and Probability, Volume 2: Probability Theory,pages 423–441, 1972.
  31. WolGha05 handout

    https://mlg.eng.cam.ac.uk/zoubin/papers/WolGha06.pdf
    27 Jan 2023: However, if the entire page is rotated upside down, most readers will now have the percept of 2 circular bumps and 4 circular depressions. ... If the page is turned upside-down does the answer change? Visual illusions are in general very informative
  32. - IB Paper 7: Probability and Statistics

    https://mlg.eng.cam.ac.uk/teaching/1BP7/1819/lect02.pdf
    19 Nov 2023: Warning: on this page the symbol p (intentionally) has two different meanings:probability or a parameter.
  33. Assessing Approximations forGaussian Process Classification Malte…

    https://mlg.eng.cam.ac.uk/pub/pdf/KusRas06.pdf
    13 Feb 2023: Touretzky,Michael C. Mozer, and Michael E. Hasselmo, editors,NIPS 8, pages 514–520. ... F. M. Smith, editors,Bayesian Statistics 6, pages 475–501. OxfordUniversity Press, 1998.
  34. Bayesian Active Learning for Classification and Preference Learning…

    https://mlg.eng.cam.ac.uk/pub/pdf/HouHusGha11a.pdf
    13 Feb 2023: 2001). Toward optimalactive learning through sampling estimation of error reduction. In ICML,pages 441–448. ... 1992). Queryby committee. In COLT, pages 287–294. ACM. [Tong and Koller, 2001] Tong, S.
  35. 13 Feb 2023: Culotta, editors, Advances in Neural Information Processing Sys-tems 23, pages 2460–2468. ... NIPS-03, pages 1033–1040, 2003. [11] Agathe Girard, Carl Edward Rasmussen, Joaquin Quinonero Candela, and Roderick Murray-Smith.
  36. The infinite HMM for unsupervised PoS tagging Jurgen Van ...

    https://mlg.eng.cam.ac.uk/pub/pdf/VanVlaGha09.pdf
    13 Feb 2023: In National Confer-ence on Artificial Intelligence, pages 722–727. Jeffrey Dean and Sanjay Ghemawat. ... In Proceedings of the2008 Conference on Empirical Methods in NaturalLanguage Processing, pages 344–352.
  37. Statistical Approaches to Learning and Discovery The EM Algorithm ...

    https://mlg.eng.cam.ac.uk/zoubin/SALD/week5b.pdf
    27 Jan 2023: 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. •
  38. Robust Multi-Class Gaussian Process Classification Daniel…

    https://mlg.eng.cam.ac.uk/pub/pdf/HerHerDup11.pdf
    13 Feb 2023: InP. Bartlett, B.Schoelkopf, D. Schuurmans, and A. Smola, editors, Advances in large marginclassifiers, pages 43–65. ... Darwiche and Nir Friedman, editors, Proceedings of the 18th Conference on Uncertainty inArtificial Intelligence, pages 352–359.
  39. Gaussian Process Regression Networks Andrew Gordon Wilson∗ David A.…

    https://mlg.eng.cam.ac.uk/pub/pdf/WilKnoGha11.pdf
    13 Feb 2023: An example of an input dependent length-scale is in section4.2 on page 43. ... In Proceedings of the 24th international conference on Machine learning, pages 393–400.
  40. linsys-new.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/tr-96-2.pdf
    27 Jan 2023: J. Royal Statistical SocietyB, pages 157{224.Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible In-ference.
  41. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect01.pdf
    19 Nov 2023: Mixture modelling (or. www.csse.monash.edu.au/dld/mixture.modelling.page.html - 26k - 4 Oct 2004 - Cached - Similar pages. ... www.lans.ece.utexas.edu/ulg/ - 14k - Cached - Similar pages. Result Page: 1 2 3 4 5 6 7 8 9 10 Next.
  42. 4F13: Machine Learning Lectures 1-2: Introduction to Machine Learning …

    https://mlg.eng.cam.ac.uk/zoubin/ml06/lect1-2.pdf
    27 Jan 2023: Mixture modelling (or. www.csse.monash.edu.au/dld/mixture.modelling.page.html - 26k - 4 Oct 2004 - Cached - Similar pages. ... www.lans.ece.utexas.edu/ulg/ - 14k - Cached - Similar pages. Result Page: 1 2 3 4 5 6 7 8 9 10 Next.
  43. ML-IRL: Machine Learning in Real Life Workshop at ICLR ...

    https://mlg.eng.cam.ac.uk/adrian/ML_IRL_2020-CLUE.pdf
    16 Jul 2024: ACKNOWLEDGEMENTS. JA acknowledges support from Microsoft Research through its PhD Scholarship Programme.
  44. grasshopper.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/GolZhuVanAnd07.pdf
    13 Feb 2023: Unlike the similarPageRank algorithm (Page et al., 1998), LexRankuses an undirected graph of sentences rather thanWeb pages, and the edge weights are either cosinevalues or 0/1 with thresholding. ... InEMNLP’04. Lawrence Page, Sergey Brin, Rajeev
  45. 4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1415/cw/coursework3.pdf
    19 Nov 2023: Hand in a maximum of 5 pages. a) 10% : load the data from kos_doc_data.mat.
  46. 4F13 Machine Learning: Coursework #1: Gaussian Processes Carl Edward…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1314/cw/coursework1.pdf
    19 Nov 2023: Hand in a maximum of 5 pages. a) 10% : Load data from cw1d.mat.
  47. 4F13 Machine Learning: Coursework #2: Probabilistic Ranking Carl…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1415/cw/coursework2.pdf
    19 Nov 2023: Hand in a maximum of 5 pages. a) 10% : Examine the data in tennis_data.mat.
  48. 4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1314/cw/coursework3.pdf
    19 Nov 2023: Hand in a maximum of 5 pages. a) 10% : load the data from kos_doc_data.mat.
  49. 4F13 Machine Learning: Coursework #2: Probabilistic Ranking Carl…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1617/cw/coursework2.pdf
    19 Nov 2023: Hand in a maximum of 5 pages; eachquestion should be labelled and answered separately and distinctly.
  50. 4F13 Machine Learning: Coursework #2: Probabilistic Ranking Zoubin…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1516/cw/coursework2.pdf
    19 Nov 2023: Hand in a maximum of 5 pages; eachquestion should be labelled and answered separately and distinctly.
  51. 4F13 Machine Learning: Coursework #1: Message Passing in Factor ...

    https://mlg.eng.cam.ac.uk/teaching/4f13/0809/cw/coursework1.pdf
    19 Nov 2023: Your solution should not exceed 5 pages. The number of variables in the graph is N = 6 and the number of factors is K = 5.

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