Call for participation

Introduction

Online advertising is a multi-billion dollar industry driven by the confluence of machine learning, optimization, control systems, auction algorithms, econometrics and software engineering. The goal of this workshop is to discuss how machine learning systems operate within the context of an advertising system. We are inviting academic and industry participation in the one day workshop on ”Online advertising systems”, organized as part of ICML 2016 conference, New York (June 19-24, 2016). We request that you fill out a short questionnaire here if you interested in speaking, submitting or attending.

Topics

We are looking for contributed talks/posters on topics that include but are not limited to:

  • Scalable machine learning algorithms for advertising

  • Machine learning training and serving infrastructure for advertising

  • Software engineering for machine learning

  • Optimization and control algorithms for pacing

  • Dynamic pricing

  • Explore/Exploit trade-off

  • A/B testing

  • User and market modeling

  • Lifetime value estimation

Submission Instructions

  • Submissions can be done using CMT system or by e-mailing submissions @ ads-ml-systems-workshop.org

  • Page limit:

    • Research submission: 4 pages (without references)

    • Industry submission: 1 page outline + slides

  • Format: Please use the ICML 2016 submission format for papers and PDF for presentations

  • The submission need not be anonymized

Archival Policy: Submissions to the workshop are linked from the workshop website and not permanently archived. If you are submitting material already published/presented else where please be explicit in the submission.

Travel grants

Google research is sponsoring some travel grants for student submissions. Please fill out the questionnaire here: http://goo.gl/forms/dxpXSc80aH

Important Dates

Contact

Questions can be addressed to: contact@ads-ml-systems-workshop.org