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https://ccaim.cam.ac.uk/tag/ai/feed/
https://ccaim.cam.ac.uk/tag/ai/feed/21 Feb 2024: individualise-treatment-effect-estimation-challenges-and-opportunities/#respond Andreas Bedorf Wed, 17 Jan 2024 16:24:08 0000 Featured News News Uncategorised AI AstraZeneca CCAIM ML Review Treatment Effect Estrimation Treatment ... We formalize these -
https://ccaim.cam.ac.uk/category/event/feed/
https://ccaim.cam.ac.uk/category/event/feed/21 Feb 2024: This work describes new hierarchical deep generative models for modelling data with missing values. ... As example workflows, we make available two new protein structure-related datasets, previously unused by the geometric deep learning community. -
https://ccaim.cam.ac.uk/tag/ccaim/feed/
https://ccaim.cam.ac.uk/tag/ccaim/feed/21 Feb 2024: individualise-treatment-effect-estimation-challenges-and-opportunities/#respond Andreas Bedorf Wed, 17 Jan 2024 16:24:08 0000 Featured News News Uncategorised AI AstraZeneca CCAIM ML Review Treatment Effect Estrimation Treatment ... We formalize these -
https://ccaim.cam.ac.uk/category/cystic-fibrosis/feed/
https://ccaim.cam.ac.uk/category/cystic-fibrosis/feed/21 Feb 2024: external-validity-of-machine-learning-based-prognostic-scores-for-cystic-fibrosis-new-publication/#respond Andreas Bedorf Wed, 21 Dec 2022 17:37:00 0000 Cystic fibrosis News Organ transplantation Research News ... Similar phenomena have been seen in a -
Ability of multi-drug resistant infection to evolve within cystic…
https://ccaim.cam.ac.uk/ability-of-multi-drug-resistant-infection-to-evolve-within-cystic-fibrosis-patients-highlights-need-for-rapid-treatment/23 Feb 2024: Similar phenomena have been seen in the evolution of new SARS-CoV-2 variants in immunocompromised patients. ... reduce the risk of transmission, stop the bug evolving further, and potentially prevent the emergence of new pathogenic variants.”. -
https://ccaim.cam.ac.uk/category/conference/neurips/feed/
https://ccaim.cam.ac.uk/category/conference/neurips/feed/21 Feb 2024: This work describes new hierarchical deep generative models for modelling data with missing values. ... As example workflows, we make available two new protein structure-related datasets, previously unused by the geometric deep learning community. -
https://ccaim.cam.ac.uk/author/ng501/feed/
https://ccaim.cam.ac.uk/author/ng501/feed/21 Feb 2024: Many existing algorithms restart training for each new hyperparameter choice, at considerable computational cost. ... Gidda Tue, 07 Dec 2021 17:52:43 0000 Featured News News AI artificial intelligence Cambridge cambridge university CCAIM conference -
https://ccaim.cam.ac.uk/tag/future-of-work/feed/
https://ccaim.cam.ac.uk/tag/future-of-work/feed/21 Feb 2024: We formalize these failure modes and provide three new generative metrics to quantify them. ... work. In our work we introduce mixed confounded missingness (MCM), a new missingness mechanism where some missingness determines treatment selection and other -
https://ccaim.cam.ac.uk/tag/healthcare/feed/
https://ccaim.cam.ac.uk/tag/healthcare/feed/21 Feb 2024: We formalize these failure modes and provide three new generative metrics to quantify them. ... work. In our work we introduce mixed confounded missingness (MCM), a new missingness mechanism where some missingness determines treatment selection and other -
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: We formalize these failure modes and provide three new generative metrics to quantify them. ... First, we formulate this question as a new type of optimal stopping/switching problem called the optimal commitment problem (OCP).
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