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- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect01.pdf19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect01.pdf19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • -
Clamping Improves TRW and Mean Field Approximations Adrian Weller∗ ...
https://mlg.eng.cam.ac.uk/adrian/clamp_aistats_final.pdf19 Jun 2024: In each case, we shall exam-ine the effect on the respective partition function estimateof clamping one or more variables to each possible set-ting then combining the approximate results obtained -
Occam’s Razor Carl Edward RasmussenDepartment of Mathematical…
https://mlg.eng.cam.ac.uk/zoubin/papers/occam.pdf27 Jan 2023: andx(n) is the (scalar or vector) input for exam-ple numbern. -
linsys-new.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/tr-96-2.pdf27 Jan 2023: Ph.D. Thesis, Graduate Group in Managerial Science and Applied Economics,University of Pennsylvania, Philadelphia, PA.Everitt, B. -
Orthogonal Estimation of Wasserstein Distances Mark Rowland∗1 Jiri…
https://mlg.eng.cam.ac.uk/adrian/AISTATS19-slicedwasserstein.pdf19 Jun 2024: physics (Jordan et al., 1998) and economics(Galichon, 2016), and are increasingly used in machinelearning (Arjovsky et al., 2017; Gulrajani et al., 2017;Peyré and Cuturi, 2018). -
A Kernel Approach to Tractable Bayesian Nonparametrics
https://mlg.eng.cam.ac.uk/pub/pdf/HusLac11.pdf13 Feb 2023: For exam-ple, Gaussian process regression can be de-rived this way from Bayesian linear regres-sion. ... It iswell known that PCA has this property, but, for exam-ple, factor analysis (FA) does not [9], thus one cannotexpect a kernel version of FA -
Function factorization using warped Gaussian processes Mikkel N.…
https://mlg.eng.cam.ac.uk/pub/pdf/Sch09.pdf13 Feb 2023: The posterior can then, for exam-ple, be used to make inference about the value of theoutput, y, at a previously unseen position in inputspace, x, by computing the predictive distributionwhich -
4F13: Machine Learning Lectures 1-2: Introduction to Machine Learning …
https://mlg.eng.cam.ac.uk/zoubin/ml06/lect1-2.pdf27 Jan 2023: Using ideas from: Statistics, Computer Science, Engineering, Applied Mathematics,Cognitive Science, Psychology, Computational Neuroscience, Economics. • -
Tree-Based Inference for Dirichlet Process Mixtures Yang Xu Machine…
https://mlg.eng.cam.ac.uk/pub/pdf/XuHelGha09.pdf13 Feb 2023: Figure 5 showsthe results. We found that the BHC lower boundswere higher (and hence tighter) than the mean lowerbounds of all variational methods in the three exam-ples (in fact, BHC ... In these exam-. 3 4 5 6 7 8 90. 0.2.
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