Session #5: Time Series

Our upcoming session will deal with time series (http://en.wikipedia.org/wiki/Time_series) prediction & classification.

I suggest we'll go over the following interesting recent works. We need a few volunteers that will help us look at the essence of these works. Please send me a message if you would like to assist.

1. Online Learning for Time Series Prediction, Anava et al., COLT 2013 -- http://bit.ly/IxJFO6 (A fresh look at a veteran algorithm. Connecting the world of time series prediction with the theoretical toolbox of online learning.)

2. Behavioral Dynamics on the Web: Learning, Modeling, and Prediction, Radinsky et al., ACM Transactions on Information Systems 2013 -- http://bit.ly/18uiPTx (Dealing with web-scale time series. The what, how, and why.)

3. Playlist Prediction via Metric Embedding, Chen et al., KDD 2012 -- http://bit.ly/1cSCEku (A very interesting way to think of time series prediction. It connects nicely with the discussions we had on music recommendation and app prediction.)

4. If time* will permit I will share a work done at my workplace.

• :)

** Please send me a message if you would like to host this/next session (round about 20 people).