Workshop Schedule


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.
Break  
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.
15:00-15:30 Coffee Break
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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