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3 Jul 2024: Miri Zilka | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/miri-zilka/ Miri Zilka Wowchemy (https://wowchemy.com) en-us ... zilka/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg Miri Zilka https://mlg

3 Jul 2024: David Burt | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/david-burt/ David Burt Wowchemy (https://wowchemy.com) en-us ... burt/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg David Burt

19 Nov 2023: Waiting times. The bus arrives on average every 15 minutes. Compare the average waiting timefor people arriving randomly if buses 1) arrive regularly, 2) arrive randomly.

3 Jul 2024: David Janz | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/david-janz/ David Janz Wowchemy (https://wowchemy.com) en-us ... janz/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg David Janz

3 Jul 2024: Wenbo Gong | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/wenbo-gong/ Wenbo Gong Wowchemy (https://wowchemy.com) en-us ... gong/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg Wenbo Gong

19 Nov 2023: The averageincome is very different from the median, since a few people have very largeincomes.

19 Jun 2024: That is, max-margin training with approximateinference—which is something people do anyway to learn graphical models—reduces not only theprediction error, but also the inference approximation error.

19 Jun 2024: 2.2. Fairness Criteria. In large part, works that formalize fairness in machine learn-ing do so by balancing a certain condition between groupsof people with different sensitive attributes, z versus ... Figure 3. The fraction of people with z = 0

19 Jun 2024: SampleSize” denotes how many people received this variant. The next two columns contain the proportionof correct answers when identifying epistemic or aleatoric uncertainty for LSAT, respectively.

19 Jun 2024: 1 Introduction. Many important data-sets involve networks: people belong to social networks, webpages are joined in a linkgraph, and power utilities are connected in a grid.