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11 - 20 of 314 search results for KaKaoTalk:ZA31 24 24 |u:mlg.eng.cam.ac.uk where 0 match all words and 314 match some words.

  1. Results that match 1 of 2 words

  2. 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.

  3. 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.

  4. 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.

  5. Statistical Approaches to Learning and Discovery Course Web Page

    https://mlg.eng.cam.ac.uk/zoubin/SALD/
    27 Jan 2023: Week 14/15 (April 24, 29, May 1). Model Selection. Bayes Factors.

  6. Cambridge Machine Learning Group Publications

    https://mlg.eng.cam.ac.uk/pub/
    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,

  7. 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.

  8. 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

  9. Clamping Variables and Approximate Inference

    https://mlg.eng.cam.ac.uk/adrian/slides_msr2.pdf
    19 Jun 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.

  10. Revisiting the Limits of MAP Inference by MWSS on Perfect Graphs

    https://mlg.eng.cam.ac.uk/adrian/slides-revisit.pdf
    19 Jun 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). •

  11. 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.

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