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Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/authors/13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Tameem Adel. George Nicholson, Marta Blangiardo, Mark Briers, Peter J Diggle, Tor Erlend Fjelde, Hong Ge, Robert J B Goudie, -
Computational abstractions for probabilistic and differentiable…
https://mlg.eng.cam.ac.uk/capp-workshop/23 Nov 2022: Online. Bayesian inference and machine learning have found numerous use cases in applied domains and basic science, such as disease modeling, climate research, economics, or astronomy. -
Topics for Machine Learning Quals
https://mlg.eng.cam.ac.uk/zoubin/topics-list.html27 Jan 2023: Topics for Machine Learning Quals. Foundations. Shannon's Source Coding Theorem. Bayes Rule. Dutch Books. Cox Axioms. Bayesian model comparison. Models. Factor Analysis / PCA. Independent Components Analysis (ICA). Mixture models / k-means. Hidden -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/13 Feb 2023: Our analysis highlights global partnerships (SDG 17) as a pivot in global sustainability efforts, which have been strongly linked to economic growth (SDG 8). ... However, if economic growth and trade expansion were repositioned as a means instead of an -
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 -
LNAI 7524 - Modelling Input Varying Correlations between Multiple…
https://mlg.eng.cam.ac.uk/pub/pdf/WilGha12a.pdf13 Feb 2023: The Re-. view of Economic Studies 61(2), 247–264 (1994)Murray, I., Adams, R.P., MacKay, D.J.: Elliptical Slice Sampling. -
Marc P. Deisenroth, Carl E. Rasmussen, and Jan Peters: ...
https://mlg.eng.cam.ac.uk/pub/pdf/DeiRasPet08.pdf13 Feb 2023: A state-dependentterminal loss is denoted by gterm. Example: SetupThroughout this paper, we use the underpowered pendulum swing up as running exam-ple. -
Occam’s Razor Carl Edward RasmussenDepartment of Mathematical…
https://mlg.eng.cam.ac.uk/pub/pdf/RasGha01.pdf13 Feb 2023: andx(n) is the (scalar or vector) input for exam-ple numbern. -
nips.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/WilRas96.pdf13 Feb 2023: We initialize the hyperparameters torandom values (in a reasonable range) and then use an iterative method, for exam-ple conjugate gradient, to search for optimal values of the hyperparameters. -
A Choice Model with Infinitely Many Latent Features Dilan ...
https://mlg.eng.cam.ac.uk/pub/pdf/GoeJaeRas06.pdf13 Feb 2023: 5. Discussion. EBA is a choice model which has correspondencesto several models in economics and psychology. ... New York:Wiley. McFadden, D. (2000). Economic choice. In T. Persson(Ed.), Nobel lectures, Economics 1996-2000, 330–364.
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