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High-energy particle physics, machine learning, and the HiggsML data challenge (HEPML)
Glen Cowan · Balázs Kégl · Kyle Cranmer · Gábor Melis · Tim Salimans · Vladimir Vava Gligorov · Daniel Whiteson · Lester Mackey · Wojciech Kotlowski · Roberto Díaz Morales · Pierre Baldi · Cecile Germain · David Rousseau · Isabelle Guyon · Tianqi Chen

Sat Dec 13 05:30 AM -- 03:30 PM (PST) @ Level 5, room 511 c

Author Information

Glen Cowan (Royal Holloway, University of London)
Balázs Kégl (Université Paris Saclay/CNRS)
Kyle Cranmer (New York University)
Gábor Melis (Google Deepmind)
Tim Salimans (Algoritmica)
Vladimir Vava Gligorov (CERN)
Daniel Whiteson (University of California Irvine)
Lester Mackey (Microsoft Research)
Wojciech Kotlowski (Poznan University of Technology, Poland)
Roberto Díaz Morales (University Carlos III de Madrid)
Pierre Baldi (UC Irvine)
Cecile Germain (Universite Paris Sud)
David Rousseau (LAL-Orsay)

Particle physicist, studying the Higgs Boson on the ATLAS experiment at the LHC at CERN, passionate about applying ML algorithms to fundamental research. Organized the HiggsML challenge in 2014 and now the [TrackML challenge] (https://sites.google.com/site/trackmlparticle/home)

Isabelle Guyon (U. Paris-Saclay & ChaLearn)
Tianqi Chen (OctoML)

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