Call for papers

We solicit submission of research papers in the following areas:

• time series prediction
• time series classification
• clustering
• anomaly and change point detection
• correlation discovery
• dimensionality reduction
• online learning and time series analysis
• general theory for learning with stochastic processes

We invite researchers from the related areas of batch and online learning, reinforcement learning, data analysis and statistics, econometrics, and many other to join and contribute to this workshop.

Submission must adhere to NIPS 2015 style format available here. Papers may be only up to 4 pages long, including figures. An additional fifth page containing only cited references is allowed. Supplementary material can be provided. We leave it up to the authors to decide whether to blind their submission or not. Please submit your manuscripts to nipstimeseries2015@gmail.com.

All accepted papers will have a poster presentation and the best papers will be selected for an oral presentation.

Important dates:

• Submission deadline: November 1st, 2015.
• Acceptance decisions: November 4th, 2015.
• Camera-ready version: November 30th, 2015.