Workshop on the Intersection of Machine Learning and Mechanism Design (MDML'2019)
The workshop aims to bring together researchers and practitioners from two research domains - mechanism design and machine learning - whose fields interact billions of times per day in practice but that are still, for the most part, keeping separate in the academic arena. The workshop will focus on motivating, promoting and disseminating interdisciplinary research combining these fields.
The workshop will tackle topics at the interaction between the two fields, including the increasing use of data and ML in designing mechanisms in broad contexts (e.g., mechanisms based on sampled data or the use of ML techniques in designing new mechanisms) as well as the potential use of mechanism design techniques in ML (e.g., learning in a strategic setting).
One area of focus will be repeated online auctions, where machine learning is an essential component of mechanism design from both the buyers’ and sellers’ points of view.
Call for Papers
We invite submissions in the broad areas of intersection, both in auctions and online advertising; and in mechanism design in general. Work can be theoretical or empirical. Case studies from the industry are welcomed. As typical for a workshop, submissions can include original work, work submitted to or published elsewhere, and early work with promising results. Feel free to contact the organizers (see email below) to discuss whether a submission is in scope.
- Submission deadline: January 25, 2019
- Acceptance notification: February 22nd, 2019
- Camera-ready version due: March 3rd, 2019
Submissions of either short or long papers to be made via EasyChair. Please follow the formatting guidelines of the main CFP. The camera-ready copy for the proceedings will be in a two-page, extended abstract format.
- Ronny Lempel (Outbrain)
- Aranyak Mehta (Google Research)
Please reach us at email@example.com.
- Michal Aharon, Oath
- Omer Ben Porat, Technion
- Olivier Chapelle, Google
- Iftah Gamzu, Amazon
- Yishay Mansour, Tel-Aviv University
- Muthu Muthukrishnan, Amazon
- Hamid Nazerzadeh, USC and Uber
- Amir Ronen, SparkBeyond
- Danny Rosenstein, Outbrain
- Erik Sodomka, Facebook
- Sergei Vassilvitskii, Google