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  2. Two Postdoctoral Research Positions Available in the Machine Learning …

    https://mlg.eng.cam.ac.uk/news/two-postdoctoral-research-positions-available-in-the-machine-learning-group/
    3 Jul 2024: The positions are for up to 24 months with a possible extension.
  3. Sustainable Growth

    https://mlg.eng.cam.ac.uk/carl/words/growth.html
    14 Jul 2024: 24. kg, see eg the wikipedia entry for the earth.
  4. Unsupervised Learning Course Web Page

    https://mlg.eng.cam.ac.uk/zoubin/course05/index.html
    27 Jan 2023: M. (draft) Pattern Recognition and Machine Learning. Oct 24 and Oct 27. ... Nov 21 and Nov 24. Sampling and. Markov Chain Monte Carlo Methods.
  5. Posts by Tag · Cambridge MLG Blog

    https://mlg.eng.cam.ac.uk/blog/posts-by-tag
    12 Apr 2024: Bayesian Inference. 24 November 2021. Natural-Gradient Variational Inference 2: ImageNet-scale. By Siddharth Swaroop. ... Deep Learning. 24 November 2021. Natural-Gradient Variational Inference 2: ImageNet-scale. By Siddharth Swaroop.
  6. Machine Learning 4f13 Lent 2009

    https://mlg.eng.cam.ac.uk/teaching/4f13/0809/
    19 Nov 2023: Feb 24. Model comparison (1L): Bayes factors, Occam's razor, BIC, Laplace approximations.
  7. https://mlg.eng.cam.ac.uk/index.xml

    https://mlg.eng.cam.ac.uk/index.xml
    3 Jul 2024: Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/ Cambridge Machine Learning Group Wowchemy (https://wowchemy.com) en-us Wed, 22 Mar 2023 00:00:00 0000
  8. Unsupervised Learning Course OLD Web Page

    https://mlg.eng.cam.ac.uk/zoubin/course03/index.html
    27 Jan 2023: Nov 24 and Nov 27. Sampling Methods. Monte Carlo:. simple Monte Carlo,.
  9. The UK government's Jet Zero Strategy is not Net Zero

    https://mlg.eng.cam.ac.uk/carl/words/jet.html
    14 Jul 2024: numbers, not adjectives — D. J. C. MacKay. The UK government's Jet Zero Strategy is not Net Zero. by Carl Edward Rasmussen, 2023-01-13. In July 2022 the UK Department for Transport published its Jet Zero Strategy for delivering net zero aviation
  10. Cambridge MLG Blog

    https://mlg.eng.cam.ac.uk/blog/
    12 Apr 2024: 24 November 2021. Natural-Gradient Variational Inference 2: ImageNet-scale. By Siddharth Swaroop.
  11. Machine Learning 4f13 Lent 2011

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/
    19 Nov 2023: Feb 22, 24. Variational approximations (2L): KL divergences, mean field, expectation propagation.
  12. Machine Learning 4f13 Lent 2010

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/
    19 Nov 2023: Feb 24, 25. Model comparison (1L): Bayes factors, Occam's razor, BIC, Laplace approximations.
  13. 27 Jan 2023: Week 14/15 (April 24, 29, May 1). Model Selection. Bayes Factors.
  14. Machine Learning 4f13 Lent 2014

    https://mlg.eng.cam.ac.uk/teaching/4f13/1314/
    19 Nov 2023: Feb 3, 6, 10, 13. Probabilistic Ranking. Feb 17, 20, 24, 27, Mar 3, 6.
  15. https://mlg.eng.cam.ac.uk/news/index.xml

    https://mlg.eng.cam.ac.uk/news/index.xml
    3 Jul 2024: The positions are for up to 24 months with a possible extension. ... on-tensorflow/ Tue, 24 May 2016 00:00:00 0000 https://mlg.eng.cam.ac.uk/news/alex-matthews-awarded-by-google-for-his-work-on-tensorflow/ <p<a
  16. 16 Jul 2024: 100. Maximum coupling strength y. BethelocalBethecycleBethemargTRWlocalTRWcycleTRWmarg. log partition error. 2 8 16 24 320. ... 2 8 16 24 320. 0.1. 0.2. 0.3. 0.4. Maximum coupling strength y.
  17. June

    https://mlg.eng.cam.ac.uk/carl/climate/1tonCO2.pdf
    14 Jul 2024: June 24, 2024 1 / 1.
  18. 13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [2022. James Urquhart Allingham, Florian Wenzel, Zelda E Mariet, Basil Mustafa, Joan Puigcerver, Neil Houlsby, Ghassen Jerfel,
  19. Revisiting the Limits of MAP Inference by MWSS on Perfect Graphs

    https://mlg.eng.cam.ac.uk/adrian/slides-revisit.pdf
    16 Jul 2024: Revisiting the Limits of MAP Inference by MWSSon Perfect Graphs. Adrian WellerUniversity of Cambridge. CP 2015Cork, Ireland. Slides and full paper athttp://mlg.eng.cam.ac.uk/adrian/. 1 / 21. Motivation: undirected graphical models (MRFs). •
  20. Clamping Variables and Approximate Inference

    https://mlg.eng.cam.ac.uk/adrian/slides_msr2.pdf
    16 Jul 2024: 24 / 21. Error in log Z vs number of clamps: complete graphs. ... 24 / 21. Time (secs) vs error in log Z for various methods.
  21. Natural-Gradient Variational Inference 2: ImageNet-scale · Cambridge…

    https://mlg.eng.cam.ac.uk/blog/2021/11/24/ngvi-bnns-part-2.html
    12 Apr 2024: Published on 24 November 2021. This is the blog of the Cambridge Machine Learning Group.
  22. 16 Jul 2024: Age 46% 56% 32%Gender 24% 50% 22%Race 24% 35% 15%. Table 3: Comparing judgment of fairness of each feature, of 54 male users, when they have differentknowledge about the ... Age 42% 63% 33%Gender 24% 54% 23%Race 18% 43% 18%. Table 5: Comparing judgment
  23. Machine Learning Group Publications

    https://mlg.eng.cam.ac.uk/pub/topics/
    13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Gaussian Processes and Kernel Methods. Gaussian processes are non-parametric distributions useful for doing Bayesian inference
  24. Gaussian Process

    https://mlg.eng.cam.ac.uk/teaching/4f13/1819/gaussian%20process.pdf
    19 Nov 2023: 64. 20. 24. 6. 6. 4. 2. 0. 2. 4. 6.
  25. Blind Justice: Fairness with Encrypted Sensitive Attributes

    https://mlg.eng.cam.ac.uk/adrian/ICML18-BlindJustice.pdf
    16 Jul 2024: d features 51 62 7 24 23p sensitive attr. 1 1 7 1 1certification 802 ms 827 ms 288 ms 250 ms 765 mstraining 43 min 51 min 7 min 1 ... Bennett Capers, I. Blind justice. Yale Journal of Law &Humanities, 24:179, 2012.
  26. An Introduction to LP Relaxations for MAP Inference

    https://mlg.eng.cam.ac.uk/adrian/2018-MLSALT4-AW2-LP.pdf
    16 Jul 2024: x3. x4. x5. x6. s. balanced almost balanced(attractive up to flipping) 24 / 41.
  27. Scalingin a Hierar chical Unsupervised Network 1 Zoubin Ghahramani,2…

    https://mlg.eng.cam.ac.uk/zoubin/papers/scaling.pdf
    27 Jan 2023: Eachof the 24 hiddenunits in the middle hiddenlayerwas connectedto 9 consecutive visible units from eacheye,i.e. ... e), 1-24-36(b,f),1-48-72(c,g), 1-72-108(d,h).
  28. Human Perceptions of Fairness in Algorithmic Decision Making: A Case…

    https://mlg.eng.cam.ac.uk/adrian/WWW18-HumanPerceptions.pdf
    16 Jul 2024: 47% 68% 70%B.S. 51% 32% 30%Liberal 57% 37% 33%Conservative 17% 24% 29%Moderate 21% 33% 34%Other 5% 6% 4%. ... Substance Abuse 4.84 0.08 0.07 0.10 0.24 0.07 0.68 0.26 0.22 0.20 0.07 0.284.
  29. linsys-new.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/tr-96-2.pdf
    27 Jan 2023: Initial state covariance:@Q@V 11 = 12V1 12(P1 x̂101 1x̂01 101) (23)V new1 = P1 x̂1x̂01 (24)The above equations can be readily generalized to multiple observation sequences, withone subtlety
  30. ICML-Presentation

    https://mlg.eng.cam.ac.uk/zoubin/talks/ICML-Presentation.pdf
    27 Jan 2023: International Conference onMachine Learning. Corvallis, Oregon, June 20-24 2007. Summary Presentation:Statistics, Awards, Comments.
  31. Evaluating and Aggregating Feature-based Model Explanations

    https://mlg.eng.cam.ac.uk/adrian/IJCAI20_EvaluatingAndAggregating.pdf
    16 Jul 2024: µC(f, gSHAP) 1.94 0.26 1.36 0.36 2.33 0.23µC(f, gAVA) 1.93 0.24 1.24 0.32 2.61 0.29.
  32. 16 Jul 2024: Tightness of LP Relaxations for Almost Balanced Models. Adrian Weller Mark Rowland David SontagUniversity of Cambridge University of Cambridge New York University. Abstract. Linear programming (LP) relaxations are widelyused to attempt to identify a
  33. 3F3: Signal and Pattern Processing Lecture 1: Introduction to ...

    https://mlg.eng.cam.ac.uk/teaching/3f3/1011/lect1.pdf
    19 Nov 2023: Dataset Data dim. Sample size MLE Regression Corr. dim.Swiss roll 3 1000 2.1(0.02) 1.8(0.03) 2.0(0.24)Faces 64 64 698 4.3
  34. Unsupervised Learning Lecture 6: Hierarchical and Nonlinear Models…

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect6hier.pdf
    27 Jan 2023: Annual Review of. Neuroscience, 24. Applications of ICA and Related Methods. •
  35. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect01.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 1: Introduction to Machine Learning 24 / 26.
  36. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect07.pdf
    19 Nov 2023: But we can not usually simulate Hamiltonian dynamics exactly. Ghahramani & Rasmussen (CUED) Lecture 7 and 8: Markov Chain Monte Carlo 24 / 28.
  37. - Machine Learning 4F13, Michaelmas 2015

    https://mlg.eng.cam.ac.uk/teaching/4f13/1516/lect0304.pdf
    19 Nov 2023: 1 0 1 22. 1. 0. 1. 2M=0. 1 0 1 24. ... 1. 2M=0. 1 0 1 24. 2. 0. 2. 4. M=1.
  38. - Machine Learning 4F13, Spring 2014

    https://mlg.eng.cam.ac.uk/teaching/4f13/1314/lect0304.pdf
    19 Nov 2023: 1. 0. 1. 2M=0. 1 0 1 24. 2. 0. 2. ... 1. 2M=0. 1 0 1 24. 2. 0. 2. 4. M=1.
  39. - Machine Learning 4F13, Spring 2015

    https://mlg.eng.cam.ac.uk/teaching/4f13/1415/lect0304.pdf
    19 Nov 2023: 1. 0. 1. 2M=0. 1 0 1 24. 2. 0. 2. ... 1. 2M=0. 1 0 1 24. 2. 0. 2. 4. M=1.
  40. Clamping Variables and Approximate Inference Adrian WellerColumbia…

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS14-clamp.pdf
    16 Jul 2024: Journal of Automated Reasoning, 24(1-2):225–275, 2000. N. Ruozzi. The Bethe partition function of log-supermodular graphical models.
  41. Unifying Orthogonal Monte Carlo Methods

    https://mlg.eng.cam.ac.uk/adrian/ICML2019-unified.pdf
    16 Jul 2024: E[x̃λỹλx̃λvỹλv x̃. 2λỹ. 2λv. ] (24)We next show the following. Lemma A.7.
  42. paper.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/KimGha08.pdf
    13 Feb 2023: GPC log-ev -24.40.6 -41.80.8 -51.81.1 -60.21.0error(%) 3.700.36 4.900.77 7.500.88 8.151.42. robust log-ev ... MS-robust- log-ev -24.40.6 -41.00.7 -50.50.7 -58.60.8GPC error(%) 3.700.36 4.540.62 6.760.76 6.850.73.
  43. G:\bioinformatics\Bioinfo-26(7)issue\btq053.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/LipGhaBor10.pdf
    13 Feb 2023: 915. at Cam. bridge University Library on July 24, 2010. http://bioinformatics.oxfordjournals.org. ... 916. at Cam. bridge University Library on July 24, 2010. http://bioinformatics.oxfordjournals.org.
  44. Scalable Gaussian Process Structured Prediction for Grid Factor Graph …

    https://mlg.eng.cam.ac.uk/pub/pdf/BraQuaNowGha14.pdf
    13 Feb 2023: 24.6. 24.7. 24.8. 24.9. 25.0err. or. rate. GPstruct. CRF LBMO bag. ... 2013. http://arxiv.org/abs/1307.3846. Breiman, Leo. Bagging predictors. Machine Learning, 24(2):123–140, 1996. Domke, Justin.
  45. Geometrically Coupled Monte Carlo Sampling Mark Rowland∗University of …

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS18-gcmc.pdf
    16 Jul 2024: Geometrically Coupled Monte Carlo Sampling. Mark RowlandUniversity of Cambridgemr504@cam.ac.uk. Krzysztof ChoromanskiGoogle Brain Roboticskchoro@google.com. François ChalusUniversity of Cambridgechalusf3@gmail.com. Aldo PacchianoUniversity of
  46. 13 Feb 2023: 24, pp. 195–220, 2005. [14] T. Smith and R. Simmons, “Heuristic search value iteration for POMDPs,” inProc. ... 24] J. H. Robert, R. St-aubin, A. Hu, and C. Boutilier, “SPUDD: Stochastic planning using decisiondiagrams,” inUAI, pp.
  47. https://mlg.eng.cam.ac.uk/teaching/4f13/1112/cw/mauna.txt

    https://mlg.eng.cam.ac.uk/teaching/4f13/1112/cw/mauna.txt
    19 Nov 2023: 875 316.69 1962.958 317.70 1963.042 318.74 1963.125 319.08 1963.208 319.86 1963.292 321.39 1963.375 322.24 1963.458 321.47 ... 24 1964.458 321.89 1964.542 320.44 1964.625 318.70 1964.708 316.70 1964.792 316.79 1964.875 317.79 1964.958 318.71 1965.042
  48. Alex Matthews awarded by Google for his work on TensorFlow |…

    https://mlg.eng.cam.ac.uk/news/alex-matthews-awarded-by-google-for-his-work-on-tensorflow/
    3 Jul 2024: Search. Alex Matthews awarded by Google for his work on TensorFlow. Alex Matthews has been given a software award from the Google Open Source Programs Office for his work on TensorFlow. The award is for “…people outside of Google that they
  49. book

    https://mlg.eng.cam.ac.uk/pub/pdf/PerGhaPon07.pdf
    13 Feb 2023: 1.23). subject to:. wt φt(xn, ynt) wt φt(xn, yt) Mynt,yt ξnt n, t, yt (1.24). ... We end up having a significant reduction in the number ofconstraints2 in our optimisation formulation for CGMs in (1.23)-(1.24).
  50. zglactive.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/zglactive.pdf
    27 Jan 2023: Combining Active Learning and Semi-Supervised LearningUsing Gaussian Fields and Harmonic Functions. Xiaojin Zhu. ZHUXJ@CS.CMU.EDUJohn Lafferty. LAFFERTY@CS.CMU.EDU. Zoubin Ghahramani. ZOUBIN@GATSBY.UCL.AC.UKSchool of Computer Science, Carnegie
  51. You Shouldn’t Trust Me: Learning Models WhichConceal Unfairness From…

    https://mlg.eng.cam.ac.uk/adrian/ECAI20-You_Shouldn%E2%80%99t_Trust_Me.pdf
    16 Jul 2024: mostimportant feature) in 2D reduced input space (scikit-learn [24]’s PCA imple-mentation). ... 4765–4774, (2017). [24] F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B.

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