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Did you mean economicsadam |u:mlg.eng.cam.ac.uk?
11 - 20 of 20 search results for Economics exam |u:mlg.eng.cam.ac.uk where 1 match all words and 19 match some words.

  1. Results that match 1 of 2 words

  2. Beyond Distributive Fairness in Algorithmic Decision Making: Feature…

    https://mlg.eng.cam.ac.uk/adrian/AAAI18-BeyondDistributiveFairness.pdf
    19 Jun 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

  3. THIS VERSION FIXES A TYPO IN THE STATEMENT OF ...

    https://mlg.eng.cam.ac.uk/adrian/Weller15_revisit_fixed.pdf
    19 Jun 2024: As an exam-ple, we show how a symmetric attractive edge with asso-ciativity W > 0 is transformed to leave only ψ′00:(.

  4. Blind Justice: Fairness with Encrypted Sensitive Attributes

    https://mlg.eng.cam.ac.uk/adrian/ICML18-BlindJustice.pdf
    19 Jun 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,

  5. Uprooting and Rerooting Graphical Models

    https://mlg.eng.cam.ac.uk/adrian/Wel16_Uproot.pdf
    19 Jun 2024: The uprooted M+ model is interesting in itself; for exam-ple, its partition function is exactly twice that of the orig-inal model M, which we may consider as the parent

  6. Clamping Variables and Approximate Inference Adrian WellerColumbia…

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS14-clamp.pdf
    19 Jun 2024: In UAI, 2009. P. Milgrom. The envelope theorems. Department of Economics, Standford University, Mimeo, 1999.

  7. Clamping Improves TRW and Mean Field Approximations Adrian Weller∗ ...

    https://mlg.eng.cam.ac.uk/adrian/clamp_aistats_final.pdf
    19 Jun 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

  8. Orthogonal Estimation of Wasserstein Distances Mark Rowland∗1 Jiri…

    https://mlg.eng.cam.ac.uk/adrian/AISTATS19-slicedwasserstein.pdf
    19 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).

  9. You Shouldn’t Trust Me: Learning Models WhichConceal Unfairness From…

    https://mlg.eng.cam.ac.uk/adrian/ECAI20-You_Shouldn%E2%80%99t_Trust_Me.pdf
    19 Jun 2024: We explain how this can happen with an instructive exam-ple demonstrating that a model could have arbitrarily high levels ofunfairness across a range of popular metrics, even while appearingto have

  10. Working Draft 1 Accountability of AI Under the Law: ...

    https://mlg.eng.cam.ac.uk/adrian/SSRN-id3064761-Dec19.pdf
    19 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,.

  11. Methods for Inference in Graphical Models

    https://mlg.eng.cam.ac.uk/adrian/phd_FINAL.pdf
    19 Jun 2024: cave functions. They have attracted attention in combinatorics (Lovász, 1983), economics (Topkis,.

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