19 May 2015
CERN
Europe/Zurich timezone
There is a live webcast for this event.

HEP meets ML award talk : XGBoost

19 May 2015, 15:40
30m
500/1-001 - Main Auditorium (CERN)

500/1-001 - Main Auditorium

CERN

60
Show room on map

Speakers

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

Description

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.

Presentation Materials