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HEPML workshop at NIPS14

December 13, 2014
Palais des Congrès de Montréal
Europe/Paris timezone

Session

Session 1

Dec 13, 2014, 8:30 AM
Level 5, room 511 c (Palais des Congrès de Montréal)

Level 5, room 511 c

Palais des Congrès de Montréal

Presentation materials

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  1. 0. Welcome
    Balázs Kégl (LAL)
    12/13/14, 8:30 AM
  2. 1. HEP&ML and the HiggsML challenge
    Balázs Kégl (LAL)
    12/13/14, 8:45 AM
    We first describe the HiggsML challenge (the problem of optimizing classifiers for discovery significance, the setup of the challenge, the results, and some analysis of the outcome). In the second part we outline some of the application themes of machine learning in high-energy physics.
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  3. 2. Embedding ML in Classical Statistical tests used in HEP (invited talk)
    Kyle Cranmer (New York University)
    12/13/14, 9:20 AM
    I will review the ways that machine learning is typically used in particle physics, some recent advancements, and future directions. In particular, I will focus on the integration of machine learning and classical statistical procedures. These considerations motivate a novel construction that is a hybrid of machine learning algorithms and more traditional likelihood methods.
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