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11 - 20 of 22 search results for Economics exam |u:mlg.eng.cam.ac.uk where 1 match all words and 21 match some words.

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  2. Understanding the Bethe Approximation: When and How can it ...

    https://mlg.eng.cam.ac.uk/adrian/abc.pdf
    19 Jun 2024: To provide another bench-mark and isolate the entropy component, we also exam-ine the tree-reweighted (TRW) approximation (Wainwrightet al., 2005).

  3. Now You See Me (CME): Concept-based Model Extraction

    https://mlg.eng.cam.ac.uk/adrian/AIMLAI20-CME.pdf
    19 Jun 2024: Further exam-ples and analysis of extracted ̂ functions can be foundin Appendix C.

  4. 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

  5. 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:(.

  6. 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,

  7. 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

  8. 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.

  9. 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

  10. 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).

  11. 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

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