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
• model selection and ensemble learning for time series
• 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 JMLR style format available here. Papers may be only up to 10 pages long, including figures. An additional eleventh page containing only cited references is allowed. Supplementary material can be provided. Reviewing will be single-blind: the reviewers will know the identities of the authors. Submission portal is now available here.

Proceedings:

Selected papers will published in the special JMLR issue on "Time Series Analysis". 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, 2016.
• Acceptance decisions: November 10th, 2016.
• Camera-ready version: November 30th, 2016.