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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. -
Sustainable Growth
https://mlg.eng.cam.ac.uk/carl/words/growth.html9 Jul 2024: 24. kg, see eg the wikipedia entry for the earth. -
Unsupervised Learning Course Web Page
https://mlg.eng.cam.ac.uk/zoubin/course05/index.html27 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. -
Posts by Tag · Cambridge MLG Blog
https://mlg.eng.cam.ac.uk/blog/posts-by-tag12 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. -
https://mlg.eng.cam.ac.uk/index.xml
https://mlg.eng.cam.ac.uk/index.xml3 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 -
The UK government's Jet Zero Strategy is not Net Zero
https://mlg.eng.cam.ac.uk/carl/words/jet.html9 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 -
Unsupervised Learning Course OLD Web Page
https://mlg.eng.cam.ac.uk/zoubin/course03/index.html27 Jan 2023: Nov 24 and Nov 27. Sampling Methods. Monte Carlo:. simple Monte Carlo,. -
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. -
https://mlg.eng.cam.ac.uk/news/index.xml
https://mlg.eng.cam.ac.uk/news/index.xml3 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 -
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. -
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. -
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. -
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. -
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. -
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 -
June
https://mlg.eng.cam.ac.uk/carl/climate/1tonCO2.pdf4 Jul 2024: June 24, 2024 1 / 1. -
Understanding the Bethe Approximation: When and How can it go Wrong?
https://mlg.eng.cam.ac.uk/adrian/pabc.pdf19 Jun 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. -
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, -
Natural-Gradient Variational Inference 2: ImageNet-scale · Cambridge…
https://mlg.eng.cam.ac.uk/blog/2021/11/24/ngvi-bnns-part-2.html12 Apr 2024: Published on 24 November 2021. This is the blog of the Cambridge Machine Learning Group. -
Blind Justice: Fairness with Encrypted Sensitive Attributes
https://mlg.eng.cam.ac.uk/adrian/poster_ICML18_BlindJustice.pdf19 Jun 2024: Bank. Datasets and Feasibility. Adult Bank COMPAS German SQFn training examples 214 215 212 29 216d features 51 62 7 24 23p sensitive attributes 1 1 7 1 1certification 802 ms -
Clamping Variables and Approximate Inference
https://mlg.eng.cam.ac.uk/adrian/newsclamp.pdf19 Jun 2024: 0.1. 0.2. 0.3. 0.4. max interaction strength W 24 / 19. -
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 -
Clamping Variables and Approximate Inference
https://mlg.eng.cam.ac.uk/adrian/slides_msr2.pdf19 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. -
Revisiting the Limits of MAP Inference by MWSS on Perfect Graphs
https://mlg.eng.cam.ac.uk/adrian/slides-revisit.pdf19 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). • -
Engineering Tripos Part IB SECOND YEAR PART IB Paper ...
https://mlg.eng.cam.ac.uk/teaching/1BP7/1819/IBP7ex76.pdf19 Nov 2023: 4.40 5.00 13.24 4.84 3.31 11.54 7.42 9.39 3.75 1.39 13.89 31.38 17.48 11.91 2.26 -
Gaussian Processes — a brief introduction
https://mlg.eng.cam.ac.uk/teaching/4f13/2324/gp.pdf19 Nov 2023: 64. 20. 24. 6. 6. 4. 2. 0. 2. 4. 6. ... Rasmussen Gaussian Processes October 23th, 2023 24 / 27. 43. 21. -
An introduction to Flow Matching · Cambridge MLG Blog
https://mlg.eng.cam.ac.uk/blog/2024/01/20/flow-matching.html12 Apr 2024: Figure 24: One-sided conditioning (Lipman et al., 2022). Figure 25: Two-sided conditioning (Tong et al., 2023). -
3F3: Signal and Pattern Processing Lecture 5: Dimensionality…
https://mlg.eng.cam.ac.uk/teaching/3f3/1011/lect5.pdf19 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 -
Directed and Undirected Graphical Models
https://mlg.eng.cam.ac.uk/adrian/2018-MLSALT4-AW1-models.pdf19 Jun 2024: 23 / 26. Directed and undirected models are different. 24 / 26. ... Directed and undirected models are different. With <3 edges,. 24 / 26. -
Junction Tree, BP and Variational Methods
https://mlg.eng.cam.ac.uk/adrian/2018-MLSALT4-AW3-approx.pdf19 Jun 2024: 24 / 32. The log-partition function log Z. Since D(q‖p) 0, we have. ... a finite convex hull 3. M(G) = conv {φ(e), e X m} (5.24). -
Structured Prediction Models for Chord Transcription of Music Audio…
https://mlg.eng.cam.ac.uk/adrian/icmla09adrian.pdf19 Jun 2024: To its right, 0-1 adds the features of the previous frame, so in this model each frame is represented by 24 dimensions. -
Bounding the Integrality Distance ofLP Relaxations for Structured…
https://mlg.eng.cam.ac.uk/adrian/OPT2016_paper_3.pdf19 Jun 2024: 24)Using the same approach to upper-bound Equation 22, we assume, without loss of generality, that(δ(µI ) θ) µ̃L (δ(µI ) θ. ′) ... m. (25). Using Equation 25 to upper-bound 22, and Equation 24 to upper-bound 23, we have that. -
Understanding the Bethe Approximation: When and How can it ...
https://mlg.eng.cam.ac.uk/adrian/abc.pdf19 Jun 2024: FA8750-14-C-0005. 2 8 16 24 320. 20. 40. 60. 80. 100. ... Maximum coupling strength y. BethelocalBethecycleBethemargTRWlocalTRWcycleTRWmarg. (a) log partition error. 2 8 16 24 320. -
Transparency: Motivations and Challenges? Adrian…
https://mlg.eng.cam.ac.uk/adrian/transparency.pdf19 Jun 2024: Notions of fairness beyond equality, and the role ofrandomness in fairness, were recently explored [24, 74]. ... Advances in experimental social psychology 24, 319–359 (1991). 26. Hammond, R., Axelrod, R.: The evolution of ethnocentrism. -
Gaussian Process
https://mlg.eng.cam.ac.uk/teaching/4f13/2122/gaussian%20process.pdf19 Nov 2023: 64. 20. 24. 6. 6. 4. 2. 0. 2. 4. 6. -
Gaussian Process
https://mlg.eng.cam.ac.uk/teaching/4f13/1819/gaussian%20process.pdf19 Nov 2023: 64. 20. 24. 6. 6. 4. 2. 0. 2. 4. 6. -
Scalingin a Hierar chical Unsupervised Network 1 Zoubin Ghahramani,2…
https://mlg.eng.cam.ac.uk/zoubin/papers/scaling.pdf27 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). -
ML-IRL: Machine Learning in Real Life Workshop at ICLR ...
https://mlg.eng.cam.ac.uk/adrian/ML_IRL_2020-CLUE.pdf19 Jun 2024: 6). LSATAl. (7). COMPASEp. (6). COMPASAl. (5) Total (24). Prolific Unc. -
linsys-new.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/tr-96-2.pdf27 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 -
3F3: Signal and Pattern Processing Lecture 1: Introduction to ...
https://mlg.eng.cam.ac.uk/teaching/3f3/1011/lect1.pdf19 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 -
Now You See Me (CME): Concept-based Model Extraction
https://mlg.eng.cam.ac.uk/adrian/AIMLAI20-CME.pdf19 Jun 2024: Model ExtractionModel extraction techniques use rules [20, 21, 22], de-cision trees [23, 24], or other more readily explainablemodels [25] to approximate complex models, in orderto study their behaviour. ... 24] M. Sato, H. Tsukimoto, Rule extraction -
ICML-Presentation
https://mlg.eng.cam.ac.uk/zoubin/talks/ICML-Presentation.pdf27 Jan 2023: International Conference onMachine Learning. Corvallis, Oregon, June 20-24 2007. Summary Presentation:Statistics, Awards, Comments. -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect01.pdf19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 1: Introduction to Machine Learning 24 / 26. -
Unsupervised Learning Lecture 6: Hierarchical and Nonlinear Models…
https://mlg.eng.cam.ac.uk/zoubin/course03/lect6hier.pdf27 Jan 2023: Annual Review of. Neuroscience, 24. Applications of ICA and Related Methods. • -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect07.pdf19 Nov 2023: But we can not usually simulate Hamiltonian dynamics exactly. Ghahramani & Rasmussen (CUED) Lecture 7 and 8: Markov Chain Monte Carlo 24 / 28. -
- Machine Learning 4F13, Michaelmas 2015
https://mlg.eng.cam.ac.uk/teaching/4f13/1516/lect0304.pdf19 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. -
chuesann.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/ChuGhaWil04b.pdf13 Feb 2023: H70.13% 70.77% 72.28% 71.70%. QobsE. 46.51% 24.69% 46.86% 23.96%Qobs. C73.29% 70.52% 72.64% 70.86%. -
- Machine Learning 4F13, Spring 2014
https://mlg.eng.cam.ac.uk/teaching/4f13/1314/lect0304.pdf19 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. -
nips.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/Ras96.pdf13 Feb 2023: 0.2. 0.3. 0.4. 0.5. 0.6. House. 24 48 96 1920. 0.05. -
- Machine Learning 4F13, Spring 2015
https://mlg.eng.cam.ac.uk/teaching/4f13/1415/lect0304.pdf19 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.
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