The Higgs Machine learning challenge

• David Rousseau (LAL-Orsay, FR)

Room: 500/1-001 - Main Auditorium Overview of the challenge by the organizers. How it was organized, what difficulty had to be overcome, what have we learned so far, next steps.

HEP meets ML award talk : XGBoost

• Tianqi CHEN (University of Washington, USA)
• Tong HE (Simon Fraser University, Canada)

Room: 500/1-001 - Main Auditorium Tianqi Chen and Tong He (team crowwork) have provided very early in the challenge to all participants XGBoost (for eXtreme Gradient Boosted). It is a parallelised software to train boost decision trees, which has been effectively used by many participants to the challenge. For this, they have won the "HEP meets ML" award which is the invitation to CERN happening today.

Challenge winner talk

• Gábor MELIS (Franz Inc., Fixnum Services, Hungary)

Room: 500/1-001 - Main Auditorium Gábor Melis reached the top of the leaderboard using a deep neural network. He will explain all that he did to get there, and, equally interesting, all that he tried which did not work.