CORDIS Project
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This project develops quality measures for approximations in machine learning and statistics, focusing on improving the accuracy of inference techniques. It employs probability theory and functional analysis to enhance algorithms used in applications like infectious disease modeling, ensuring reliable estimates of vari…
The project aims to develop quality measures for approximations in machine learning and statistics, using tools of probability and functional analysis, such as Stein's method and functional inequalities.
Approximate inference techniques have been used in the recent years as a way to speed up the learning process, which is particularly important in the era of big data.
It is, however, necessary for researchers to be able to measure the error of the associated approximations.
Indeed, wrong varianc…
UNIVERSITE DU LUXEMBOURG
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United States, Cambridge
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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