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Beyond Distributive Fairness in Algorithmic Decision Making: Feature…
https://mlg.eng.cam.ac.uk/adrian/AAAI18-BeyondDistributiveFairness.pdf16 Jul 2024: Prior work in economics, law, and political science dis-tinguishes between direct and indirect discrimination, sug-gesting that the “wrong” of direct discrimination (which weidentify with violating process fairness) should be ... In Univer-sity of -
Orthogonal Estimation of Wasserstein Distances Mark Rowland∗1 Jiri…
https://mlg.eng.cam.ac.uk/adrian/AISTATS19-slicedwasserstein.pdf16 Jul 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). -
Clamping Improves TRW and Mean Field Approximations Adrian Weller∗ ...
https://mlg.eng.cam.ac.uk/adrian/clamp_aistats_final.pdf16 Jul 2024: In each case, we shall exam-ine the effect on the respective partition function estimateof clamping one or more variables to each possible set-ting then combining the approximate results obtained -
Working Draft 1 Accountability of AI Under the Law: ...
https://mlg.eng.cam.ac.uk/adrian/SSRN-id3064761-Dec19.pdf16 Jul 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,. -
Methods for Inference in Graphical Models
https://mlg.eng.cam.ac.uk/adrian/phd_FINAL.pdf16 Jul 2024: cave functions. They have attracted attention in combinatorics (Lovász, 1983), economics (Topkis,. -
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)); -
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. -
Marc P. Deisenroth, Carl E. Rasmussen, and Jan Peters: ...
https://mlg.eng.cam.ac.uk/pub/pdf/DeiRasPet08.pdf13 Feb 2023: A state-dependentterminal loss is denoted by gterm. Example: SetupThroughout this paper, we use the underpowered pendulum swing up as running exam-ple. -
3F3: Signal and Pattern Processing Lecture 1: Introduction to ...
https://mlg.eng.cam.ac.uk/teaching/3f3/1011/lect1.pdf19 Nov 2023: Computational Neuroscience: neuronal networks, neural information processing,. • Economics: decision theory, game theory, operational research,.
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