HEPML@NIPS

Keyphrases

Publications

2014

Tianqi Chen, Tong He
Higgs Boson Discovery with Boosted Trees. HEPML@NIPS (2014)
Roberto Díaz-Morales, Ángel Navia-Vázquez
Optimization of AMS using Weighted AUC optimized models. HEPML@NIPS (2014)
Peter J. Sadowski, Julian Collado, Daniel Whiteson, Pierre Baldi
Deep Learning, Dark Knowledge, and Dark Matter. HEPML@NIPS (2014)
Preface. HEPML@NIPS (2014)
Claire Adam-Bourdarios, Glen Cowan, Cécile Germain, Isabelle Guyon, Balázs Kégl, David Rousseau
The Higgs boson machine learning challenge. HEPML@NIPS (2014)
Gábor Melis
Dissecting the Winning Solution of the HiggsML Challenge. HEPML@NIPS (2014)
Wojciech Kotlowski
Consistent optimization of AMS by logistic loss minimization. HEPML@NIPS (2014)
Lester W. Mackey, Jordan Bryan, Man Yue Mo
Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML Challenge. HEPML@NIPS (2014)
Vladimir Gligorov
Real-time data analysis at the LHC: present and future. HEPML@NIPS (2014)

volume 42, 2014

Workshop on High-energy Physics and Machine Learning, HEPML 2014, held at NIPS 2014, Montreal, Quebec, Canada, December 8-13, 2014 HEPML@NIPS 42 (2014)