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  2. Addressing Climate Change

    https://mlg.eng.cam.ac.uk/carl/climate/eaccs.html
    13 Jul 2024: Membership immediately creates economic pressure to cut emissions (for all members, not just large emitters).
  3. International Cooperation against Climate Change

    https://mlg.eng.cam.ac.uk/carl/climate/internationalcooperation.html
    13 Jul 2024: Strong individual economic pressures conflict with our common global interests. Only through global cooperation can individual and common incentives be re-aligned. ... This creates strong economic pressures to keep using fossil fuels. The real
  4. What should we, Humanity, do about Climate Change?

    https://mlg.eng.cam.ac.uk/carl/climate/do.html
    13 Jul 2024: Both schemes create economic incentives to reduce emissions, the higher the carbon price or the lower the cap, the stronger the incentive. ... Note, that both the low emitters and the large emitters will feel an economic pressure to emit less.
  5. arXiv:0906.4032v1 [cs.LG] 22 Jun 2009

    https://mlg.eng.cam.ac.uk/pub/pdf/BorGha09a.pdf
    13 Feb 2023: An associated test is called a two-sample test. Such tests are encountered invarious disciplines from the life sciences to the social sciences:. • ... 3. 3 Concept of Bayesian two-sample tests. 3.1 Bayes factor as test criterion.
  6. https://mlg.eng.cam.ac.uk/index.xml

    https://mlg.eng.cam.ac.uk/index.xml
    3 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
  7. https://mlg.eng.cam.ac.uk/news/index.xml

    https://mlg.eng.cam.ac.uk/news/index.xml
    3 Jul 2024: Latest News | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/news/ Latest News Wowchemy (https://wowchemy.com) en-us Wed, 22 Mar 2023 00:00:00 0000
  8. 4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…

    https://mlg.eng.cam.ac.uk/teaching/4f13/2122/cw/coursework3.pdf
    19 Nov 2023: c) For the Bayesian model, what is the log probability for the test document with ID 2001? ... Explainwhether, when computing the log probability of a test document, you would use the multinomial orthe categorical distribution function?
  9. Orthogonal estimation of Wasserstein distances Mark Rowland*, Jiri…

    https://mlg.eng.cam.ac.uk/adrian/slicedwasserstein_poster.pdf
    19 Jun 2024: Naturally incorporate spatial information. • Applications from economics to machine learning.
  10. ML-IRL: Machine Learning in Real Life Workshop at ICLR ...

    https://mlg.eng.cam.ac.uk/adrian/ML_IRL_2020-Counterfactual_Accuracy.pdf
    19 Jun 2024: would we have to give up so that the predictionfor the test point would change? ... 2017)), and then we constrain fora random test point to obtain counterfactual accuracy.
  11. nips.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/WilRas96.pdf
    13 Feb 2023: There is one trainingcase (x(1); t(1)) and one test case for which we wish to predict y. ... The dotted line represents an observation y1 = t(1). In the right-hand plot we seethe distribution of the output for the test case, obtained by conditioning on

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