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1 - 50 of 62 search results for katalk:PC53 24 / |u:mlg.eng.cam.ac.uk where 0 match all words and 62 match some words.
  1. Results that match 1 of 2 words

  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. 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.
  4. 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.
  5. 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
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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
  11. 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.
  12. - 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.
  13. - 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.
  14. - 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.
  15. - 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.
  16. 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
  17. 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
  18. Yarin Gal awarded Research Fellowship at St Catherine’s College,…

    https://mlg.eng.cam.ac.uk/news/yarin-gal-awarded-research-fellowship-at-st-catherine-college-cambridge/
    3 Jul 2024: Mar 24, 2016. Well done to Yarin Gal who has been awarded the Michael and Morven Heller Research Fellowship at St Catherine’s College, Cambridge.
  19. 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.
  20. Gaussian Process

    https://mlg.eng.cam.ac.uk/teaching/4f13/1718/gaussian%20process.pdf
    19 Nov 2023: 64. 20. 24. 6. 6. 4. 2. 0. 2. 4. 6.
  21. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect01.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 1: Introduction to Machine Learning January 14th, 2010 24 / 26.
  22. ENGINEERING TRIPOS PART IIA EXAMPLES PAPER - PATTERN PROCESSING ...

    https://mlg.eng.cam.ac.uk/teaching/3f3/1011/examplespaper0910.pdf
    19 Nov 2023: 1. 4 2a 8a 24 18a = 0therefore a = 1.
  23. - Machine Learning 4F13, Spring 2014

    https://mlg.eng.cam.ac.uk/teaching/4f13/1314/lect0102.pdf
    19 Nov 2023: 4. 3. 2. 1. 0. 1. 2. 3. Rasmussen and Ghahramani Lecture 1 and 2: Probabilistic Regression 24 / 36.
  24. - Machine Learning 4F13, Spring 2015

    https://mlg.eng.cam.ac.uk/teaching/4f13/1415/lect0102.pdf
    19 Nov 2023: 1. 0. 1. 2. 3. Samples from the posteriorRasmussen and Ghahramani Lecture 1 and 2: Probabilistic Regression 24 / 37.
  25. - Machine Learning 4F13, Michaelmas 2015

    https://mlg.eng.cam.ac.uk/teaching/4f13/1516/lect0102.pdf
    19 Nov 2023: 1. 0. 1. 2. 3. Samples from the posteriorGhahramani Lecture 1 and 2: Probabilistic Regression 24 / 38.
  26. https://mlg.eng.cam.ac.uk/blog/feed.xml

    https://mlg.eng.cam.ac.uk/blog/feed.xml
    12 Apr 2024: Jekyll 2024-04-12T16:32:5900:00 https://mlg.eng.cam.ac.uk/blog/feed.xml MLG Blog Blog of the Machine Learning Group at the University of Cambridge An introduction to Flow Matching 2024-01-20T00:00:0000:00 2024-01-20T00:00:0000:00
  27. - Machine Learning 4F13, Michaelmas 2015

    https://mlg.eng.cam.ac.uk/teaching/4f13/1516/lect1011.pdf
    19 Nov 2023: a probability? Ghahramani Lecture 10 and 11: Text and Discrete Distributions 10 / 24. ... Ghahramani Lecture 10 and 11: Text and Discrete Distributions 24 / 24.
  28. - Machine Learning 4F13, Spring 2015

    https://mlg.eng.cam.ac.uk/teaching/4f13/1415/lect1011.pdf
    19 Nov 2023: Rasmussen and Ghahramani Lecture 10 and 11: Text and Discrete Distributions 5 / 24. ... Rasmussen and Ghahramani Lecture 10 and 11: Text and Discrete Distributions 24 / 24.
  29. - Machine Learning 4F13, Spring 2014

    https://mlg.eng.cam.ac.uk/teaching/4f13/1314/lect1011.pdf
    19 Nov 2023: Rasmussen and Ghahramani Lecture 10 and 11: Text and Discrete Distributions 5 / 24. ... Rasmussen and Ghahramani Lecture 10 and 11: Text and Discrete Distributions 24 / 24.
  30. Gaussian Processes — a brief introduction

    https://mlg.eng.cam.ac.uk/teaching/4f13/2324/gp.pdf
    19 Nov 2023: 64. 20. 24. 6. 6. 4. 2. 0. 2. 4. 6. ... Rasmussen Gaussian Processes October 23th, 2023 24 / 27. 43. 21.
  31. 3F3: Signal and Pattern Processing Lecture 5: Dimensionality…

    https://mlg.eng.cam.ac.uk/teaching/3f3/1011/lect5.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
  32. An introduction to Flow Matching · Cambridge MLG Blog

    https://mlg.eng.cam.ac.uk/blog/2024/01/20/flow-matching.html
    12 Apr 2024: Figure 24: One-sided conditioning (Lipman et al., 2022). Figure 25: Two-sided conditioning (Tong et al., 2023).
  33. Gaussian Process

    https://mlg.eng.cam.ac.uk/teaching/4f13/2122/gaussian%20process.pdf
    19 Nov 2023: 64. 20. 24. 6. 6. 4. 2. 0. 2. 4. 6.
  34. Gaussian Process

    https://mlg.eng.cam.ac.uk/teaching/4f13/1617/gaussian%20process.pdf
    19 Nov 2023: 64. 20. 24. 6. 6. 4. 2. 0. 2. 4. 6.
  35. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0809/lect01.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 1: Introduction to Machine Learning January 16th, 2009 24 / 26.
  36. Gaussian Process

    https://mlg.eng.cam.ac.uk/teaching/4f13/2324/gaussian%20process.pdf
    19 Nov 2023: 64. 20. 24. 6. 6. 4. 2. 0. 2. 4. 6.
  37. 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
  38. - 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.
  39. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect01.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 1: Introduction to Machine Learning January 18th, 2008 24 / 26.
  40. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect07.pdf
    19 Nov 2023: But we can not usually simulate Hamiltonian dynamics exactly. Ghahramani & Rasmussen (CUED) Lecture 7: Markov Chain Monte Carlo February 8th and 13th, 2008 24 / 28.
  41. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect04.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 4: Graphical Models January 30th, 2008 24 / 1.
  42. What Keeps a Bayesian Awake At Night? Part 2: Night Time · Cambridge…

    https://mlg.eng.cam.ac.uk/blog/2021/03/31/what-keeps-a-bayesian-awake-at-night-part-2.html
    12 Apr 2024: Paris (1994, p. 24): “[W]hen an attempt is made to fill in all the details some of the attractiveness of the original is lost.”.
  43. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0809/lect04.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 4: Graphical Models January 27th, 2009 24 / 25.
  44. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect04.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 4: Graphical Models January 27th, 2010 24 / 25.
  45. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/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 February 10th and 11th, 2010 24 / 28.
  46. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0809/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 February 6th and 10th, 2009 24 / 28.
  47. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect04.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 4: Graphical Models 24 / 26.
  48. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect02.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 2, 3: PCA, FA and EM January 23rd, 25th, 2008 24 / 27.
  49. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1213/lect0304.pdf
    19 Nov 2023: 1. 2M=0. 1 0 1 24. 2. 0. 2. 4. M=1. ... p(x, y)dy = p(x):. wkp(w)dw =. wk(. p(wk, w/k)dw/k. )dwk =. wkp(wk)dwk. Rasmussen & Ghahramani (CUED) Lecture 3 and 4: Gaussian Processes 24 / 32.
  50. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1112/lect0304.pdf
    19 Nov 2023: 1. 2M=0. 1 0 1 24. 2. 0. 2. 4. M=1. ... p(x, y)dy = p(x):. wkp(w)dw =. wk(. p(wk, w/k)dw/k. )dwk =. wkp(wk)dwk. Quiñonero-Candela & Rasmussen (CUED) Lecture 3 and 4: Gaussian Processes 24 /
  51. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect05.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 5: Graphical Models: Inference 24 / 31.

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