HEPML workshop at NIPS14

Session

Session 2

13 déc. 2014, 10:30

Level 5, room 511 c (Palais des Congrès de Montréal)

3. Presentation of the winner of the HiggsML challenge

Gábor Melis

13/12/2014 10:30

We describe the winning solution of the HiggsML challenge, the issues related to the evaluation metric and reliable assessment of model performance. Finally, we take a stab at predicting how to achieve larger improvements.

4. Presentation of the runner up of the HiggsML challenge

Tim Salimans

13/12/2014 10:50

High Energy Physics provides a challenging data domain with data that is highly structured, but also very noisy. I will present what I have learned analyzing this data for the HiggsML challenge, focusing on methods that are able to effectively search through a high dimensional model space while also achieving good statistical efficiency. In addition, I will discuss the role of the physicist in...

5. Presentation of the winner of the HEP meets ML prize

Tianqi Chen

13/12/2014 11:10

In this talk, I will describe how we use principle of gradient boosting method to construct simple and effective regression trees functions for Higgs Boson detection. We take a functional space optimization framework that jointly optimize the training objective and simplicity of functions learnt. I talk about how the objective could be clearly related to the tree searching, pruning and leave...

6. Real time data analysis at the LHC : present and future

Vava Gligorov

13/12/2014 11:30

The large hadron collider (LHC), which collides protons at an energy of 14 TeV (for non-physicists, each beam of protons carries roughly the energy of a TGV train going at full speed), produces hundreds of exabytes of data per year, making it one of the largest sources of data in the world today. At present it is not possible to even transfer most of this data from the four main particle...