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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.

19 Jun 2024: Let x2 be a sensitive fea-ture, such as age, given by the shape of the point: assume youngand mature people. ... 100% points are accurate (correctly, blue maturepeople are in the blue zone, red mature people are in the red zone).

19 Jun 2024: in terms of thetotal number of people influenced, and the fraction of peopleinfluenced from both A and B communities. ... maximizing the to-tal number of influenced people, while also significantly de-creasing disparity.

10 Apr 2024: Search. Marton Havasi. Marton has received his BA in Computer Science in 2016 and his MPhil in Machine Learning, Speech and Language Technology in 2017 from Cambridge University. He joined the group as a PhD student in October 2017. He is supervised

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: 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.

10 Apr 2024: Search. Elre Oldewage. Elre joined the PhD program in October 2018. She is supervised by Richard Turner and advised by Adrian Weller. She previously studied at the University of Pretoria, South Africa, where she completed her BSc, BSc(Hons) and MSc

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

10 Apr 2024: Search. John Bronskill. John Bronskill is a postdoc in the Machine Learning Group at the University of Cambridge supervised by Richard Turner. He received a Bachelor’s degree and a Master’s degree in Electrical Engineering from the University of

10 Apr 2024: Search. Sebastian Ober. Sebastian is a PhD student in the Machine Learning Group supervised by Prof. He joined in October 2018, after completing his BA and MEng in Information and Computer Engineering at the Cambridge University Engineering