12/10/2016 NIPS 2016 Workshop: ML for Spatiotemporal Forecasting
Hilton Diag. Mar, Blrm. B, Sat Dec 10, 09:00 AM
|Morning session||High-impact applications in science and industry: what is forecasting good for?|
|9:00 - 9:30||Welcome and introduction to spatiotemporal forecasting: platforms, tools, datasets and challenges. Florin Popescu (Fraunhofer Institute, Germany).|
|9:30 - 10:00||Invited talk: Forecasting for Electrical Transmission Grid: Antoine Marot (RTE: Réseau de transport d’électricité, FR).|
|10:00- 10:30||Invited talk: Danny Silver (Acadia University, CA): Forecasting using machine learning techniques in energy and agriculture.|
|11:00- 12:00||Open discussion: Application areas of advanced forecasting methods.|
|12:00- 14:30||Lunch, poster session.|
|14:30- 15:00||Invited talk: Alexander Statnikov (American Express): Financial Risk Forecasting.|
|15:30- 16:30||Open/guided discussion: Platforms for forecasting.|
|Special session:||Learning theory and practice: what is good forecasting?|
|16:30- 17:00||Invited talk: Sven Crone (Lancaster Centre for Forecasting, Lancaster Univ.): From Hype-Cycle to Reality of Predictive Analytics (a Time Series Forecasting perspective)|
|17:00- 17:45||Invited talk: Spatiotemporal online learning with expert advice, with applications to climate science and finance: Claire Monteleoni (George Washington University)|
|17:45- 19:00||Final discussion (moderated by Program Committee)|
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