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41 - 50 of 58 search results for TALK:PC53 20 |u:mlg.eng.cam.ac.uk where 0 match all words and 58 match some words.

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  2. From Parity to Preference-based Notionsof Fairness in Classification…

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS17-from-parity-to-preference.pdf
    19 Jun 2024: classifier. 6. Acc : 0.87. B0 : 0.16; B1 : 0.77B0 : 0.20; B1 : 0.85. ... Roth. Fairness in Learning: Classic and Contextual Bandits.In NIPS, 2016. [20] F.

  3. Uprooting and Rerooting Higher-Order GraphicalModels Mark…

    https://mlg.eng.cam.ac.uk/adrian/uprooting-higher-order.pdf
    19 Jun 2024: Figure 2: Error in estimating log Z for random models with various pure k-potentials over 20 runs. ... In International Conference on Machine Learning(ICML), 2016. [20] A. Weller and J.

  4. https://mlg.eng.cam.ac.uk/blog/feed.xml

    https://mlg.eng.cam.ac.uk/blog/feed.xml
    12 Apr 2024: to Flow Matching 2024-01-20T00:00:0000:00 2024-01-20T00:00:0000:00 https://mlg.eng.cam.ac.uk/blog/2024/01/20/flow-matching style type="text/css" /

  5. A Unified Approach to Quantifying Algorithmic Unfairness: Measuring…

    https://mlg.eng.cam.ac.uk/adrian/KDD2018_inequality_indices.pdf
    19 Jun 2024: pun. fair. ness. (2 β). Within-group. 0.00.20.40.60.81.0Covariance threshold. 0.06. 0.08. 0.10. ... 0.00.20.40.60.81.0Covariance threshold. 0.160. 0.165. 0.170. 0.175. Indi. vidu. alun. fair. ness. (

  6. Leader Stochastic Gradient Descent for DistributedTraining of Deep…

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS2019_LSGD_preprint.pdf
    19 Jun 2024: Landscape symmetries are commonin a plethora of non-convex problems [18, 19, 20, 21, 22], including deep learning [23, 24, 25, 26]. ... 7.7 Proofs from Section 3.2. Theorem 20. Let i be the set of points (x1,.

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

    https://mlg.eng.cam.ac.uk/adrian/SSRN-id3064761-Dec19.pdf
    19 Jun 2024: 20 See House of Lords, Select Committee on Artificial Intelligence, Report of Session 2017-19, AI in the UK: Ready, Willing, and Able? ... 23 House of Lords, AI in the UK, supra note 20, 95-100.

  8. Discovering Interpretable Representations for Both Deep Generative…

    https://mlg.eng.cam.ac.uk/adrian/ICML18-Discovering.pdf
    19 Jun 2024: Each model is rendered from 62viewpoints: 31 azimuth angles (with a step of 11) and 2 elevation angles (20 and 30), with a fixed distance to the chair(Dosovitskiy et al.,

  9. The Geometry of Random Features Krzysztof Choromanski∗1 Mark…

    https://mlg.eng.cam.ac.uk/adrian/geometry.pdf
    19 Jun 2024: The Geometry of Random Features. Krzysztof Choromanski1 Mark Rowland2 Tamas Sarlos1 Vikas Sindhwani1 Richard E. Turner2 Adrian Weller231Google Brain, NY 2University of Cambridge, UK 3The Alan Turing Institute, UK. Abstract. We present an in-depth

  10. Blind Justice: Fairness with Encrypted Sensitive Attributes

    https://mlg.eng.cam.ac.uk/adrian/ICML18-BlindJustice.pdf
    19 Jun 2024: In STOC, pp. 218–229. ACM,1987. Graham, C. NHS cyber attack: Everything you need toknow about ’biggest ransomware’ offensive in history.Telegraph, May 20, 2017.

  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: SHAP [23], 5. LIME [26], and 6. Guided-backpropagation [32]. Our approach introduces an explanation loss term during training.This is similar to [20], who propose a loss function which enforcesan ... compas age 4.01.69 4.341.82 -2.230.66 -3.20.91

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