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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 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. • -
Discovering Interpretable Representations for Both Deep Generative…
https://mlg.eng.cam.ac.uk/adrian/ICML18-Discovering.pdf16 May 2024: 1. IntroductionLearning interpretable data representations is becomingever more important as machine learning models grow insize and complexity, and as applications reach critical so-cial, economic and public health domains. -
Addressing Climate Change
https://mlg.eng.cam.ac.uk/carl/climate/eaccs.html9 Jun 2024: Membership immediately creates economic pressure to cut emissions (for all members, not just large emitters). -
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. -
Orthogonal estimation of Wasserstein distances Mark Rowland*, Jiri…
https://mlg.eng.cam.ac.uk/adrian/slicedwasserstein_poster.pdf16 May 2024: Naturally incorporate spatial information. • Applications from economics to machine learning. -
Speaking Truth to Climate Change
https://mlg.eng.cam.ac.uk/carl/climate/truth.pdf30 May 2024: The effect of the alliance is to immediately apply strong economic pressure on allcontries to reduce emissions. ... Alliance dynamics. Initially, from a purely economic perspective, it’ll be advantageous for low percapita emitting countries to join -
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, -
Mechanisms Against Climate Change
https://mlg.eng.cam.ac.uk/carl/talks/eeg.pdf30 May 2024: The club immediately creates strong economic pressure on all members to reduce production andemissions. -
Transparency: Motivations and Challenges? Adrian…
https://mlg.eng.cam.ac.uk/adrian/transparency.pdf16 May 2024: 53. Prat, A.: The wrong kind of transparency. American Economic Review 95(3),862–877 (2005). ... In: KDD (2016). 55. Ross, S.A.: The economic theory of agency: The principal’s problem.
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