ECLearning2019: EC Workshop on Learning in Presence of Strategic Behavior (ACM FCRC 2019) |
Submission link | https://easychair.org/conferences/?conf=eclearning2019 |
Abstract registration deadline | May 1, 2019 |
Submission deadline | May 1, 2019 |
Call for Papers
The first ACM EC Workshop on Learning in Presence of Strategic Behavior will be held in conjunction with ACM Federated Computing Research Conference (FCRC) 2019, Phoenix, Arizona on June 28, 2019.
The main goal of this workshop is to address current challenges and opportunities that arise from interactions of learning systems with social and strategic agents. This workshop aims at bringing together members of different communities; including economics, machine learning, theoretical computer science, and social computing; to share recent results, discuss important directions for future research, and foster collaborations. In particular, we expect our workshop to be of interest to the larger research community present at ACM FCRC 2019, including participants of EC, COLT, and STOC.
Papers from a rich set of theoretical and applied perspectives are invited. Some areas of interest at the interface of learning and strategic behavior include, but are not limited to:
1. Learning from data that is produced by agents who have vested interest in the outcome or the learning process. Examples of this include learning a measure of quality of universities by surveying members of the academia who stand to gain or lose from the outcome, or when a GPS routing app has to learn patterns of traffic delay by routing individuals who have no interest in taking slower routes.
2. Learning a model for the strategic behavior of one or more agents by observing their interactions. Examples of this include applications of learning in economic paradigms.
3. Learning as a model of interactions between agents. Examples of this include applications to swarm robotics, where individual agents have to learn to interact in a multi-agent setting in order to achieve individual or collective goals.
4. Interactions between multiple learners. Examples of this include scenarios where two or more learners learn about the same or multiple related concepts. How do these learners interact? What are the scenarios under which they would share knowledge, information, or data. What are the desirable interactions between learners?
Submission Guidelines and important information can be found on the workshop's website.
Committees
Organizing committee
- Omer Ben-Porat, Technion
- Nika Haghtalab, Microsoft Research and Cornell University
- Yishay Mansour, Tel Aviv University
- Tim Roughgarden, Columbia University
Program Committee
- Will be available soon.
Contact
All questions about submissions should be emailed to: eclearning2019 at easychair.org