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1 - 50 of 55 search results for scholarships page |u:mlg.eng.cam.ac.uk where 2 match all words and 53 match some words.
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  2. https://mlg.eng.cam.ac.uk/index.xml

    https://mlg.eng.cam.ac.uk/index.xml
    3 Jul 2024: visit the individual research pages of our <a href="https://mlg.eng.cam.ac.uk/people"group members</a.<br (Image courtesy of Daniel M. ... Applicants who want to apply for University funding need to reply ‘Yes’ to the question ‘Apply for Cambridge
  3. PhD Programme in Advanced Machine Learning | Cambridge Machine…

    https://mlg.eng.cam.ac.uk/phd_programme_in_advanced_machine_learning/
    3 Jul 2024: Applicants who want to apply for University funding need to reply ‘Yes’ to the question ‘Apply for Cambridge Scholarships’. ... For a sample of our research, you can check group members’ personal pages or our research publications page..
  4. Results that match 1 of 2 words

  5. Three recent papers from MLG | Cambridge Machine Learning Group

    https://mlg.eng.cam.ac.uk/news/three-recent-papers-from-mlg/
    3 Jul 2024: The text can be found on the authors’ personal pages. Mark Rowland, Aldo Pacchiano and Adrian Weller.
  6. Cambridge Machine Learning Group

    https://mlg.eng.cam.ac.uk/
    3 Jul 2024: Search. Latest News. Mar 22, 2023. Feb 23, 2020. Sep 19, 2019. Sep 19, 2019. Sep 19, 2019. TAUGHT COURSES. 3F3: Signal and Pattern Processing. Taught by Zoubin Ghahramani. Taught by Mark Gales. Taught by Zoubin Ghahramani and Carl Rasmussen.
  7. About Us | Cambridge Machine Learning Group

    https://mlg.eng.cam.ac.uk/about-us/
    3 Jul 2024: If you are interested in finding out more about our research, please visit our Publications page, or visit the individual research pages of our group members.
  8. Cambridge Machine Learning Group

    https://mlg.eng.cam.ac.uk/people/
    3 Jul 2024: Search. Copyright -Published with Wowchemy — the free, open source website builder that empowers creators. https://mlg.eng.cam.ac.uk/. Cite.
  9. https://mlg.eng.cam.ac.uk/news/index.xml

    https://mlg.eng.cam.ac.uk/news/index.xml
    3 Jul 2024: The text can be found on the authors’ personal pages.</p <pMark Rowland, Aldo Pacchiano and Adrian Weller. ... up to date versions of the papers, visit the authors’ webpages, which may be found through our <a
  10. Wenbo Gong | Cambridge Machine Learning Group

    https://mlg.eng.cam.ac.uk/people/wenbo-gong/
    3 Jul 2024: José Miguel Hernández-Lobato. He is funded by CSC-Cambridge Trust Scholarship. He has broad interests including generative models, implicit models and variational inference.
  11. Jonathan So | Cambridge Machine Learning Group

    https://mlg.eng.cam.ac.uk/people/jonathan-so/
    3 Jul 2024: Search. Jonathan So. Jonathan is a PhD student in the machine learning group under the supervision of Richard Turner, and is funded by the Harding Distinguished Scholarship Programme.
  12. Austin Tripp | Cambridge Machine Learning Group

    https://mlg.eng.cam.ac.uk/people/austin-tripp/
    3 Jul 2024: He is funded by a C.T. Taylor scholarship from the Cambridge Trust.
  13. Elre Oldewage | Cambridge Machine Learning Group

    https://mlg.eng.cam.ac.uk/people/elre-oldewage/
    3 Jul 2024: She is a member of Churchill College and is funded by a Schlumberger Cambridge Scholarship.
  14. Sebastian Ober | Cambridge Machine Learning Group

    https://mlg.eng.cam.ac.uk/people/sebastian-ober/
    3 Jul 2024: He is funded by a Gates Cambridge Scholarship, and his research interests include approximate inference, Bayesian deep learning, and Bayesian nonparametrics.
  15. Javier Antorán | Cambridge Machine Learning Group

    https://mlg.eng.cam.ac.uk/people/javier-antoran/
    3 Jul 2024: José Miguel Hernández-Lobato. Javier is funded by the Microsoft Research PhD scholarship programme.
  16. Chaochao Lu | Cambridge Machine Learning Group

    https://mlg.eng.cam.ac.uk/people/chaochao-lu/
    3 Jul 2024: Search. Chaochao Lu. Chaochao Lu is a PhD student of Machine Learning Group at the University of Cambridge, where he is co-supervised by Prof. Zoubin Ghahramani and Prof. José Miguel Hernández-Lobato, advised by Prof. Carl Edward Rasmussen, and
  17. preferential_fairness_nips_2017.pages

    https://mlg.eng.cam.ac.uk/adrian/preferential_fairness_nips_2017.pdf
    19 Jun 2024: From Parity to Preference-based No4ons of Fairness in Classifica4on Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna P. Gummadi, Adrian Weller. Max Planck InsBtute for SoEware Systems, Max Planck InsBtute for Intelligent Systems,
  18. Valerii Likhosherstov | Cambridge Machine Learning Group

    https://mlg.eng.cam.ac.uk/people/valerii-likhosherstov/
    3 Jul 2024: I am funded by the Department of Engineering and Trust Scholarship.
  19. Google awards $750,000 for “The Automatic Statistician” | Cambridge…

    https://mlg.eng.cam.ac.uk/news/google-awards-750000-for-the-automatic-statistician/
    3 Jul 2024: automatically produces a 10-15 page report describing patterns discovered in the data, but returns a statistical model with state-of-the-art extrapolation performance evaluated over real time series data
  20. Eight new papers from the group to appear in ICML 2013 | Cambridge…

    https://mlg.eng.cam.ac.uk/news/eight-new-papers-from-the-group-to-appear-in-icml-2013/
    3 Jul 2024: Abstracts and additional material can be found on our publications page, and links to author webpages can be found on ourCopyright -Published with Wowchemy — the free, open source website builder that
  21. Five papers from the group to appear at AISTATS 2016 | Cambridge…

    https://mlg.eng.cam.ac.uk/news/five-papers-from-the-group-to-appear-at-aistats-2016/
    3 Jul 2024: Search. Five papers from the group to appear at AISTATS 2016. Jan 18, 2016. Five new papers from the group are to appear at the 2016 International Conference on Artificial Intelligence and Statistics (AISTATS) to be held in May in Cadiz, Spain. The
  22. Three new papers from the group to appear in NIPS 2013 | Cambridge…

    https://mlg.eng.cam.ac.uk/news/three-new-papers-from-the-group-to-appear-in-nips-2013/
    3 Jul 2024: Search. Three new papers from the group to appear in NIPS 2013. Oct 17, 2013. Three new papers from the group are to appear in the Proceeding of Neural Information Processing Systems, 2013, and will be presented at the NIPS conference in Lake Tahoe,
  23. Announcing the Cambridge – Tübingen PhD Fellowships in Machine…

    https://mlg.eng.cam.ac.uk/news/announcing-the-cambridge-tubingen-phd-fellowships-in-machine-learning/
    3 Jul 2024: Bernhard Schoelkopf in Tübingen. Please see the fellowship webpage and our PhD Admissions FAQ page for more information.
  24. Ten new papers from the group to appear at ICML 2014 in Beijing |…

    https://mlg.eng.cam.ac.uk/news/ten-new-papers-from-the-group-to-appear-at-icml-2014-in-beijing/
    3 Jul 2024: Please see our group members page for links to the webpages of the authors.
  25. Ten new papers from the group to appear at NIPS 2014 in Montreal |…

    https://mlg.eng.cam.ac.uk/news/ten-new-papers-from-the-group-to-appear-at-nips-2014-in-montreal/
    3 Jul 2024: Search. Ten new papers from the group to appear at NIPS 2014 in Montreal. Sep 10, 2014. Ten new papers from the group are to appear at the 2014 conference on Advances in Neural Information Processing Systems (NIPS 2014), to be held in December in
  26. Call for applications Cambridge-Tübingen PhD Fellowships in Machine…

    https://mlg.eng.cam.ac.uk/news/call-for-applications-cambridge-tubingen-phd-fellowships-in-machine-learning/
    3 Jul 2024: Please see the fellowship webpage and our PhD Admissions FAQ page for more information.
  27. Five new papers from the group to appear at NIPS 2016 in Barcelona |…

    https://mlg.eng.cam.ac.uk/news/five-new-papers-from-the-group-to-appear-at-nips-2016-in-barcelona/
    3 Jul 2024: Search. Five new papers from the group to appear at NIPS 2016 in Barcelona. Aug 16, 2016. Five new papers from the group are to appear at the 2016 conference on Advances in Neural Information Processing Systems (NIPS 2016), to be held in December in
  28. Seven new papers from the group to appear at NIPS 2015 in Montreal |…

    https://mlg.eng.cam.ac.uk/news/seven-new-papers-from-the-group-to-appear-at-nips-2015-in-montreal/
    3 Jul 2024: Search. Seven new papers from the group to appear at NIPS 2015 in Montreal. Sep 8, 2015. Seven new papers from the group are to appear at the 2015 conference on Advances in Neural Information Processing Systems (NIPS 2015), to be held in December in
  29. Tightness of LP Relaxations for Almost Balanced Models

    https://mlg.eng.cam.ac.uk/adrian/palmost.pdf
    19 Jun 2024: Weiss. Tightening LP relaxations for MAP using message passing. In UAI, pages 503–510, 2008.
  30. 19 Jun 2024: Tightening LP relaxations for MAP using message passing. In UAI, pages 503–510, 2008.
  31. Network Ranking With Bethe Pseudomarginals Kui TangColumbia…

    https://mlg.eng.cam.ac.uk/adrian/2013_NeurIPS_DiscML_Network.pdf
    19 Jun 2024: AUAI Press, Corvallis, Oregon, 2011, pages 319–326. [14] P. Domingos and M. ... ACM, Saint Petersburg, Russia,2009, pages 565–576. [18] T. Lee and C.-N.
  32. Ode to an ODE Krzysztof Choromanski ∗Robotics at Google ...

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS20-ODEtoODE.pdf
    19 Jun 2024: In Proceedings of International Conference on NeuralNetworks (ICNN’88), San Francisco, CA, USA, March 28 - April 1, 1993, pages 1183–1188,1993. ... Neural ordinarydifferential equations. In Advances in neural information processing systems, pages
  33. Revisiting the Limits of MAP Inference by MWSS on Perfect Graphs

    https://mlg.eng.cam.ac.uk/adrian/slides-revisit.pdf
    19 Jun 2024: In AAAI, pages 731–736, 1993. J. Larrosa and R. Dechter. On the dual representation of non-binarysemiring-based CSPs.
  34. C:/Users/Adrian/Documents/GitHub/betheClean/docs/nb-UAI.dvi

    https://mlg.eng.cam.ac.uk/adrian/nb-UAI.pdf
    19 Jun 2024: McAllester and P. Myl-lymäki, editors, UAI, pages 70–78. AUAI Press, 2008. ... Roweis, editors, ICML, volume 307 ofACM International Conference Proceeding Series, pages 480–487.
  35. Adversarial Graph Embeddings for Fair Influence Maximization over…

    https://mlg.eng.cam.ac.uk/adrian/IJCAI20_AdversarialGraphEmbeddings.pdf
    19 Jun 2024: Generative adversarial nets. InAdvances in neural information processing systems, pages 2672–2680, 2014. ... Ex-ploring social influence for recommendation: a generative modelapproach. In SIGIR, pages 671–680.
  36. 19 Jun 2024: M. Jaggi. Revisiting Frank-Wolfe: Projection-free sparse convexoptimization. In ICML (1), pages 427–435, 2013. ... In UAI, pages 402–410, 2009. J. Mooij. libDAI: A free and open source C++ library fordiscrete approximate inference in graphical models.
  37. Evaluating and Aggregating Feature-based Model Explanations

    https://mlg.eng.cam.ac.uk/adrian/IJCAI20_EvaluatingAndAggregating.pdf
    19 Jun 2024: In Proceedings of the AAAI Conference on ArtificialIntelligence, volume 33, pages 3681–3688, 2019. ... InAdvances in Neural Information Processing Systems 30(NeurIPS 2017), pages 4765–4774, 2017.
  38. Gauged Mini-Bucket Elimination for Approximate Inference Sungsoo Ahn…

    https://mlg.eng.cam.ac.uk/adrian/Gauge_for_Holder_Inference.pdf
    19 Jun 2024: InProceedings of the 28th International Conferenceon Machine Learning (ICML-11), pages 849–856,2011. ... Gauging variational inference. In Advancesin Neural Information Processing Systems 30,pages 2881–2890.
  39. ML-IRL: Machine Learning in Real Life Workshop at ICLR ...

    https://mlg.eng.cam.ac.uk/adrian/ML_IRL_2020-CLUE.pdf
    19 Jun 2024: ACKNOWLEDGEMENTS. JA acknowledges support from Microsoft Research through its PhD Scholarship Programme.
  40. Methods for Inference in Graphical Models

    https://mlg.eng.cam.ac.uk/adrian/phd_FINAL.pdf
    19 Jun 2024: Methods for Inference in Graphical Models. Adrian Weller. Submitted in partial fulfillment of the. requirements for the degree. of Doctor of Philosophy. in the Graduate School of Arts and Sciences. COLUMBIA UNIVERSITY. 2014. c2014. Adrian Weller.
  41. 19 Jun 2024: In International Conference on Ar-tificial Intelligence and Statistics, pages 146–154, 2011. ... In D. McAllester andP. Myllymäki, editors, UAI, pages 70–78. AUAI Press,2008.
  42. Bethe and Related Pairwise Entropy Approximations Adrian…

    https://mlg.eng.cam.ac.uk/adrian/Weller_UAI15_BetheAndRelated.pdf
    19 Jun 2024: Edited by G. Goos, J. Hartmanis, and J. van Leeuwen,page 11, 1970. ... In UAI, pages 402–410, 2009. P. Milgrom. The envelope theorems. Department of Eco-nomics, Standford University, Mimeo, 1999.
  43. Uprooting and Rerooting Graphical Models

    https://mlg.eng.cam.ac.uk/adrian/Wel16_Uproot.pdf
    19 Jun 2024: Approximate inference andconstrained optimization. In UAI, pages 313–320, 2003. A. Ihler. ... Globerson, and N. Friedman. Con-vexifying the Bethe free energy. In UAI, pages 402–410, 2009.
  44. Clamping Improves TRW and Mean Field Approximations Adrian Weller∗ ...

    https://mlg.eng.cam.ac.uk/adrian/clamp_aistats_final.pdf
    19 Jun 2024: ReferencesG. Bouchard and O. Zoeter. Split variational inference. In Proceedings of the 26th Annual International Confer-ence on Machine Learning, pages 57–64. ... In UAI, pages 313–320, 2003. S. Lauritzen and D. Spiegelhalter. Local computations
  45. Conditions Beyond Treewidth for Tightness of Higher-order LP…

    https://mlg.eng.cam.ac.uk/adrian/conditions.pdf
    19 Jun 2024: In UAI, pages 70–78, 2008. M. Cooper and S. Živný. Hybrid tractability of valued constraintproblems. ... In Polyhedral Combinatorics, pages 101–105.American Mathematical Society, 1990. D. Lichtenstein. Planar formulae and their uses.
  46. The Geometry of Random Features Krzysztof Choromanski∗1 Mark…

    https://mlg.eng.cam.ac.uk/adrian/geometry.pdf
    19 Jun 2024: In AISTATS, 2017. Herman Chernoff. Chernoff bound. In InternationalEncyclopedia of Statistical Science, pages 242–243, 2011.doi: 10.1007/978-3-642-04898-2_170. ... In NIPS, 2017. C. Cortes and V. Vapnik. Support-vector networks. InMachine Learning,
  47. Orthogonal Estimation of Wasserstein Distances Mark Rowland∗1 Jiri…

    https://mlg.eng.cam.ac.uk/adrian/AISTATS19-slicedwasserstein.pdf
    19 Jun 2024: Johnson, W. and Lindenstrauss, J. (1984). Exten-sions of Lipschitz mappings into a Hilbert space.In Conference in modern analysis and probability,volume 26, pages 189–206. ... In SSVM, volume 6667 of Lecture Notesin Computer Science, pages 435–446.
  48. Clamping Variables and Approximate Inference Adrian WellerColumbia…

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS14-clamp.pdf
    19 Jun 2024: URLhttp://www-siepr.stanford.edu/workp/swp99016.pdf. J. Mitchell. Branch-and-cut algorithms for combinatorial optimization problems. Handbook of Applied Opti-mization, pages 65–77, 2002.
  49. THIS VERSION FIXES A TYPO IN THE STATEMENT OF ...

    https://mlg.eng.cam.ac.uk/adrian/Weller15_revisit_fixed.pdf
    19 Jun 2024: problem. In SODA, pages 630–646, 2011. J. Foulds, N. Navaroli, P. Smyth, and A.
  50. A Unified Approach to Quantifying Algorithmic Unfairness: Measuring…

    https://mlg.eng.cam.ac.uk/adrian/KDD2018_inequality_indices.pdf
    19 Jun 2024: ACM, New York, NY, USA, 12 pages.https://doi.org/10.1145/3219819.3220046. 1 INTRODUCTIONAs algorithmic decision making systems are increasingly used inlife-affecting scenarios such as criminal risk prediction ... or commercial advantage and that copies
  51. Human Perceptions of Fairness in Algorithmic Decision Making: A Case…

    https://mlg.eng.cam.ac.uk/adrian/WWW18-HumanPerceptions.pdf
    19 Jun 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
  52. Beyond Distributive Fairness in Algorithmic Decision Making: Feature…

    https://mlg.eng.cam.ac.uk/adrian/AAAI18-BeyondDistributiveFairness.pdf
    19 Jun 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),

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