The Higgs Machine Learning challenge (HiggsML https://higgsml.lal.in2p3.fr) ran on the Kaggle platform in summer 2014. Official simulated ATLAS events were publicly released, and participants competed to invent the most powerful algorithms to improve the statistical significance of the Higgs to tau+tau- signal.
The participation was overwhelming with more than 1700 teams, Machine learning specialists, physicists and students, submitted more than 30.000 solutions, making it the most popular Kaggle challenge at the time. During these few months, a typical HEP problem has been tackled with the most advanced machine learning techniques, which have quickly outperformed traditional HEP tools. This mini workshop is a step towards importing the lessons of the challenge back into High Energy Physics.
This event is open to anyone with some interest in advanced machine learning/multivariate analysis techniques.
Videos will be made available publicly on this page within a few days.
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