HEPML workshop at NIPS14

Saturday, 13 December 2014 - 08:30
Palais des Congrès de Montréal (Level 5, room 511 c)

        : Sessions
    /     : Talks
        : Breaks
13 Dec 2014
AM
08:30
Session 1 (until 10:00) (Level 5, room 511 c)
08:30 Welcome - Balázs Kégl (LAL)   (Level 5, room 511 c)
08:45 HEP&ML and the HiggsML challenge - Balázs Kégl (LAL)   (Level 5, room 511 c)
Slides
09:20 Embedding ML in Classical Statistical tests used in HEP (invited talk) - Kyle Cranmer (New York University)   (Level 5, room 511 c)
Transparents
10:00
Coffee break (until 10:30) (Level 5, room 511 c)
10:30
Session 2 (until 12:10) (Level 5, room 511 c)
10:30 Presentation of the winner of the HiggsML challenge - Gábor Melis   (Level 5, room 511 c)
Slides
10:50 Presentation of the runner up of the HiggsML challenge - Tim Salimans   (Level 5, room 511 c)
Slides
11:10 Presentation of the winner of the HEP meets ML prize - Tianqi Chen   (Level 5, room 511 c)
11:30 Real time data analysis at the LHC : present and future - Vava Gligorov   (Level 5, room 511 c)
PM
15:00
Session 3 (until 16:30) (Level 5, room 511 c)
15:00 Machine Learning for Ultra-High-Energy Physics (invited talk) - Daniel Whiteson   (Level 5, room 511 c)
15:40 Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML Challenge - Lester Mackey   (Level 5, room 511 c)
16:00 Consistent optimization of AMS by logistic loss minimization - Wojciech Kotlowski   (Level 5, room 511 c)
16:30
Coffee break (until 17:00) (Level 5, room 511 c)
17:00
Session 4 (until 18:30) (Level 5, room 511 c)
17:00 Ensemble of maximied Weighted AUC models for the maximization of the median discovery significance - Roberto Diaz Morales (University Carlos III de Madrid)   (Level 5, room 511 c)
Paper
Slides
Video
17:20 Deep Learning In High-Energy Physics (invited talk) - Pierre Baldi   (Level 5, room 511 c)
Slides
18:00 Panel discussion   (Level 5, room 511 c)