Volume 42: NIPS 2014 Workshop on High-energy Physics and Machine Learning, 13 December 2014, Montreal, Canada

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Editors: Glen Cowan, Cécile Germain, Isabelle Guyon, Balázs Kégl, David Rousseau

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Contents:

Preface

Preface

The Editors ; PMLR 42:i-v

Accepted Papers

Real-time data analysis at the LHC: present and future

Vladimir Gligorov ; PMLR 42:1-18

The Higgs boson machine learning challenge

Claire Adam-Bourdarios, Glen Cowan, Cécile Germain, Isabelle Guyon, Balàzs Kégl, David Rousseau ; PMLR 42:19-55

Dissecting the Winning Solution of the HiggsML Challenge

Gábor Melis ; PMLR 42:57-67

Higgs Boson Discovery with Boosted Trees

Tianqi Chen, Tong He ; PMLR 42:69-80

Deep Learning, Dark Knowledge, and Dark Matter

Peter Sadowski, Julian Collado, Daniel Whiteson, Pierre Baldi ; PMLR 42:81-87

Consistent optimization of AMS by logistic loss minimization

Wojciech Kotłowski ; PMLR 42:99-108

Optimization of AMS using Weighted AUC optimized models

Roberto Díaz-Morales, Ángel Navia-Vázquez ; PMLR 42:109-127

Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML Challenge

Lester Mackey, Jordan Bryan, Man Yue Mo ; PMLR 42:129-134

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