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https://ccaim.cam.ac.uk/tag/conference/feed/
https://ccaim.cam.ac.uk/tag/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 -
https://ccaim.cam.ac.uk/category/news/research-news/feed/
https://ccaim.cam.ac.uk/category/news/research-news/feed/21 Feb 2024: We show that the method generalizes CNNs on an n-dimensional grid and is provably more discriminative than standard GNNs regarding the Weisfeiler-Lehman 1-WL test. ... Experiments in goodness-of-fit tests and model learning show that our approach -
https://ccaim.cam.ac.uk/tag/artificial-intelligence/feed/
https://ccaim.cam.ac.uk/tag/artificial-intelligence/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 -
https://ccaim.cam.ac.uk/category/conference/icml/feed/
https://ccaim.cam.ac.uk/category/conference/icml/feed/21 Feb 2024: These estimators can be used to evaluate the congruence of test instances with respect to the training set, to answer two practically useful questions: (1) which test instances will be reliably -
https://ccaim.cam.ac.uk/category/event/feed/
https://ccaim.cam.ac.uk/category/event/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 ... missing data are the tests not carried out yet on the patient./p /div -
https://ccaim.cam.ac.uk/category/people/feed/
https://ccaim.cam.ac.uk/category/people/feed/21 Feb 2024: background in Economics and has worked in variety of finance roles, ranging from trading to project management./p/divul class="gb-social-links"lia -
https://ccaim.cam.ac.uk/tag/ccaim/feed/
https://ccaim.cam.ac.uk/tag/ccaim/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 -
Matching last year’s total, 18 papers from CCAIM accepted at NeurIPS…
https://ccaim.cam.ac.uk/eighteen-papers-from-cambridge-centre-for-ai-in-medicine-accepted-at-neurips-2021/23 Feb 2024: 2) What features of these corpus examples are relevant for the model to relate them to the test example? ... SimplEx provides an answer by reconstructing the test latent representation as a mixture of corpus latent representations. -
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 -
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
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