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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. -
The Case for Process Fairness in Learning:Feature Selection for ...
https://mlg.eng.cam.ac.uk/adrian/grgic.pdf16 May 2024: 3. Prior literature in social, economic, legal, and political sciences distinguishing between directdiscrimination and indirect discrimination makes similar observations as we do in this paper. -
Understanding the Bethe Approximation: When and How can it ...
https://mlg.eng.cam.ac.uk/adrian/abc.pdf16 May 2024: To provide another bench-mark and isolate the entropy component, we also exam-ine the tree-reweighted (TRW) approximation (Wainwrightet al., 2005). -
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring…
https://mlg.eng.cam.ac.uk/adrian/KDD2018_inequality_indices.pdf16 May 2024: Our core idea is to use existing inequalityindices from economics to measure how unequally the outcomes ofan algorithm benefit different individuals or groups in a population.Our work offers a justified ... In this paper, we propose to quantify -
4F13 Probabilistic Machine Learning: Coursework #1: Gaussian…
https://mlg.eng.cam.ac.uk/teaching/4f13/1617/cw/coursework1.pdf19 Nov 2023: This data has 2-D input and scalar output. Visualise the data, for exam-ple using mesh(reshape(x(:,1),11,11),reshape(x(:,2),11,11),reshape(y,11,11)); -
4F13 Machine Learning: Coursework #1: Gaussian Processes Zoubin…
https://mlg.eng.cam.ac.uk/teaching/4f13/1516/cw/coursework1.pdf19 Nov 2023: This data has 2-D input and scalar output. Visualise the data, for exam-ple using mesh(reshape(x(:,1),11,11),reshape(x(:,2),11,11),reshape(y,11,11)); -
Now You See Me (CME): Concept-based Model Extraction
https://mlg.eng.cam.ac.uk/adrian/AIMLAI20-CME.pdf16 May 2024: Further exam-ples and analysis of extracted ̂ functions can be foundin Appendix C. -
Human Perceptions of Fairness in Algorithmic Decision Making: A Case…
https://mlg.eng.cam.ac.uk/adrian/WWW18-HumanPerceptions.pdf16 May 2024: We draw these latentproperties from the existing literature in social-economic-political-moral sciences, philosophy, and the law, as detailed below.I. ... Caused by Sensitive Group Membership. Inspired by thenotions of indirect discrimination in -
LNAI 7524 - Modelling Input Varying Correlations between Multiple…
https://mlg.eng.cam.ac.uk/pub/pdf/WilGha12a.pdf13 Feb 2023: The Re-. view of Economic Studies 61(2), 247–264 (1994)Murray, I., Adams, R.P., MacKay, D.J.: Elliptical Slice Sampling. -
Blind Justice: Fairness with Encrypted Sensitive Attributes
https://mlg.eng.cam.ac.uk/adrian/ICML18-BlindJustice.pdf16 May 2024: 6. ConclusionReal world fair learning has suffered from a dilemma: inorder to enforce fairness, sensitive attributes must be exam-ined; yet in many situations, users may feel uncomfortablein revealing these attributes,
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