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A Unified Approach to Quantifying Algorithmic Unfairness: Measuring…
https://mlg.eng.cam.ac.uk/adrian/KDD2018_inequality_indices.pdf19 Jun 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 -
The Case for Process Fairness in Learning:Feature Selection for ...
https://mlg.eng.cam.ac.uk/adrian/grgic.pdf19 Jun 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. -
Cambridge Machine Learning Group Publications
https://mlg.eng.cam.ac.uk/pub/13 Feb 2023: Our analysis highlights global partnerships (SDG 17) as a pivot in global sustainability efforts, which have been strongly linked to economic growth (SDG 8). ... However, if economic growth and trade expansion were repositioned as a means instead of an -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect01.pdf19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. • -
nips2007-final.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/SilChuGha08.pdf27 Jan 2023: This setup is very closely related to the classicseemingly unrelated regressionmodel popular in economics [12]. -
Orthogonal Estimation of Wasserstein Distances Mark Rowland∗1 Jiri…
https://mlg.eng.cam.ac.uk/adrian/AISTATS19-slicedwasserstein.pdf19 Jun 2024: physics (Jordan et al., 1998) and economics(Galichon, 2016), and are increasingly used in machinelearning (Arjovsky et al., 2017; Gulrajani et al., 2017;Peyré and Cuturi, 2018). -
Working Draft 1 Accountability of AI Under the Law: ...
https://mlg.eng.cam.ac.uk/adrian/SSRN-id3064761-Dec19.pdf19 Jun 2024: Working Draft. 1. Accountability of AI Under the Law: The Role of Explanation. Finale Doshi-Velez, Mason Kortz, Ryan Budish, Chris Bavitz, Sam Gershman, David O’Brien, Kate Scott, Stuart Shieber, James Waldo, David Weinberger, Adrian Weller,. -
Gaussian Processes for time-marked time-series data John P.…
https://mlg.eng.cam.ac.uk/pub/pdf/CunGhaRas12.pdf13 Feb 2023: 3.1.2 Gameday Traffic Data. Time-marked data appears in broader contexts thanexperimental science, such as economics and finance(where for example equity volatility may depend bothon calendar events and -
A Nonparametric Bayesian Model for Multiple Clustering…
https://mlg.eng.cam.ac.uk/pub/pdf/NiuDyGha12.pdf13 Feb 2023: This datasetis also very rich. Articles contain topics on politics,economics, business, sports and so on. -
Bayes-Ball: The Rational Pastime(for Determining Irrelevance and…
https://mlg.eng.cam.ac.uk/zoubin/course04/BayesBall.pdf27 Jan 2023: Ross D. ShachterEngineering-Economic Systems and Operations Research Dept. Stanford UniversityStanford, CA 94305-4023shachter@stanford.edu.
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