Time Series Workshop
Time Series Workshop @ ICML 2019
June 14, 2019. Long Beach, USA

Introduction

Time-dependent sequential data emerge in many key real-world problems, including areas such as climate, robotics, biology, economics, entertainment, healthcare and transportation. The increasing volume and complexity of time series data in modern applications highlight the importance of scalable and flexible time series learning techniques. Predominant methods in machine learning often assume i.i.d. observations, which is generally not appropriate for time series data. Therefore, there is both a great need and an exciting opportunity for the machine learning community to develop theory, models, and algorithms for processing and analyzing large-scale complex time series data.

The Time Series Workshop at ICML 2019 brings together theoretical and applied researchers at the forefront of time series analysis and algorithms to discuss existing key progress and promising new directions. Topics include methods for time series prediction, classification, clustering, anomaly and change point detection, causal discovery, and dimensionality reduction as well as a general theory for learning and analyzing stochastic processes. Our workshop will host leading researchers from academia and industry with a range of perspectives and interests. We also invite researchers from the related areas of batch and online learning, deep learning, reinforcement learning, data analysis and statistics, and many others to both contribute and participate in this workshop.

Due to our generous sponsors, we have a limited amount of funding to support the travel of graduate students and postdoctoral fellows (up to two years) to attend our workshop. These awards will be assigned primarily based on need and travel distance, and they will be limited to one individual per paper. If you or one of your authors would like to be considered for a travel award, please submit the following information to tsw.icml2019@gmail.com no later than May 28th, 2019 11:59PM Pacific Time. 1) Workshop paper title; 2) Student / postdoctoral fellow name; 3) Student / postdoctural fellow level; 4) Traveling from; 5) Reasons for needing support. The recipients of these travel awards will be notified by June 4th, 2019 11:59 PM Pacific Time.

Schedule

Long Beach Convention Center, Long Beach
8:45 am - 6:05 pm
June 14, 2019

Morning Session


8:45 - 9:00 Opening Remarks
9:00 - 9:45 Invited Talk
9:45 - 10:30 Invited Talk
10:30 - 11:00 Morning Coffee Break
11:00 - 11:45 Invited Talk
11:45 - 12:30 Poster Session
12:30 - 14:30 Lunch

Afternoon Session


14:30 - 14:45 Contributed Talk
14:45 - 15:30 Invited talk
15:30 - 16:00 Afternoon Coffee Break
16:00 - 16:45 Poster Session
16:45 - 17:00 Contributed Talk
17:00 - 17:15 Contributed Talk
17:15 - 18:00 Panel Discussion
18:00 - 18:05 Awards and Closing Remarks
 

Keynote Speakers

Yulia Gel

Professor
University of Texas at Dallas

Edo Liberty

Director of Research
Amazon Web Services

Yan Liu

Associate Professor
University of Southern California

Suchi Saria

Assistant Professor
Johns Hopkins University

Accepted Papers

The list of accepted papers will be posted after the author notification date.

Call for Papers

We invite researchers to submit both theoretical and applied work on time series analysis, modeling, and algorithms, along with their applications. Papers submitted to the workshop should be up to four pages long excluding references and in ICML 2019 format. Supplementary material is permitted, although there is no guarantee that it will be reviewed. As the review process is not blind, authors can reveal their identity in their submissions. All inquiries may be sent to tswicml2019@gmail.com.

Submissions page: Times Series Workshop 2019.

Note on open dataset submissions: In order to promote new and innovative research in time series research, we plan to accept a small number of high quality time series dataset contributions. These submissions should be accompanied by a clear and detailed description of the dataset, some potential questions and applications that arise from it, as well as discussion on why the data cannot be sufficiently modeled using traditional batch learning techniques. Preliminary empirical investigations conveying any insight about the data will increase the quality of the submission.

Note on dual submission and publication policy: We accept dual submissions with other conferences, workshops, and/or journals. Accepted papers will be posted on the workshop website. However, there will not be any formal proceedings, so authors should feel free to submit their accepted work to other venues in the future (subject to the submission policy of those venues).

Key Dates

 

Paper Submission Deadline: May 3, 2019, 11:59 PM PST

Author Notification: May 20, 2019, 11:59 PM PST (changed from May 17, 2019, 11:59PM PST)

Travel Award Application Due: May 28, 2019, 11:59 PM PST

Travel Award Notification: June 4, 2019, 11:59 PM PST

Final Version: June 13, 2019, 11:59 PM PST

Workshop: June 14, 2019

Workshop Organizers

Vitaly Kuznetsov

Google Research

Cheng Tang

Amazon Web Services

Yuyang Wang

Amazon Web Services

Scott Yang

D. E. Shaw & Co.

Rose Yu

Northeastern University