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51 - 60 of 60 search results for Economics test |u:ccaim.cam.ac.uk where 15 match all words and 45 match some words.
  1. Results that match 1 of 2 words

  2. https://ccaim.cam.ac.uk/category/conference/neurips/feed/

    https://ccaim.cam.ac.uk/category/conference/neurips/feed/
    21 Feb 2024: This problem has important applications in health-care. For example, in the case where the predictive model is used to identify a patient’s disease based on medical tests and the ... In the paper we introduce the first method for addressing this
  3. https://ccaim.cam.ac.uk/tag/van-der-schaar/feed/

    https://ccaim.cam.ac.uk/tag/van-der-schaar/feed/
    21 Feb 2024: strongPost hoc auditing of model fairness suffers from potential drawbacks: (1) auditing may be highly sensitive to the test samples chosen; (2) the model and/or its training data may need
  4. https://ccaim.cam.ac.uk/category/conference/feed/

    https://ccaim.cam.ac.uk/category/conference/feed/
    21 Feb 2024: strongPost hoc auditing of model fairness suffers from potential drawbacks: (1) auditing may be highly sensitive to the test samples chosen; (2) the model and/or its training data may need
  5. https://ccaim.cam.ac.uk/tag/gsk/feed/

    https://ccaim.cam.ac.uk/tag/gsk/feed/
    21 Feb 2024: strongPost hoc auditing of model fairness suffers from potential drawbacks: (1) auditing may be highly sensitive to the test samples chosen; (2) the model and/or its training data may need
  6. https://ccaim.cam.ac.uk/tag/machine-learning/feed/

    https://ccaim.cam.ac.uk/tag/machine-learning/feed/
    21 Feb 2024: strongPost hoc auditing of model fairness suffers from potential drawbacks: (1) auditing may be highly sensitive to the test samples chosen; (2) the model and/or its training data may need
  7. https://ccaim.cam.ac.uk/category/conference/aistats/feed/

    https://ccaim.cam.ac.uk/category/conference/aistats/feed/
    21 Feb 2024: strongPost hoc auditing of model fairness suffers from potential drawbacks: (1) auditing may be highly sensitive to the test samples chosen; (2) the model and/or its training data may need
  8. Conference Season 2023: 20 papers from CCAIM accepted at AISTATS and…

    https://ccaim.cam.ac.uk/conference-season-2023-20-papers-from-ccaim-accepted-at-aistats-and-iclr/
    23 Feb 2024: Abstract: Post hoc auditing of model fairness suffers from potential drawbacks: (1) auditing may be highly sensitive to the test samples chosen; (2) the model and/or its training data may
  9. CCAIM at NeurIPS 2023 Researchers from the Cambridge Centre ...

    https://ccaim.cam.ac.uk/wp-content/uploads/2023/10/CCAIM-at-NeurIPS-2023-2.pdf
    30 Oct 2023: Can you rely on your model evaluation? Improving model evaluation with synthetic test data. ... Testing outperforms traditional baselines---including real test data alone---in estimating model performance on.
  10. https://ccaim.cam.ac.uk/tag/cambridge-centre-for-ai-in-medicine/feed/

    https://ccaim.cam.ac.uk/tag/cambridge-centre-for-ai-in-medicine/feed/
    21 Feb 2024: CCAIM https://ccaim.cam.ac.uk Novel AI to transform healthcare Wed, 05 Jul 2023 11:56:24 0000 en-GB hourly 1 https://wordpress.org/?v=6.2.4 https://ccaim.cam.ac.uk/wp-content/uploads/2020/09/cropped-CCAIM-Symbol-Social-Icon-WhiteBG-1-32x32.png CCAIM
  11. CCAIM at ICML 2023 Researchers from the Cambridge Centre ...

    https://ccaim.cam.ac.uk/wp-content/uploads/2023/07/CCAIM-at-ICML-2023.pdf
    24 Jul 2023: WL) graph isomorphism test. However, standard GNNs and the WL framework are inapplicable for geometric graphs. ... In this work, we propose. a geometric version of the WL test (GWL) for discriminating geometric graphs while respecting the underlying.

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