Learning in the Presence of Strategic Behavior (EC 2019 Workshop)

Workshop on Learning in Presence of Strategic Behavior at EC 2019

(co-located with FCRC 2019)

June 28, 2019 at Phoenix, AZ, USA

Submission deadline: May 1.

Website: https://sites.google.com/view/eclearning2019/

The 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.

The workshop will include 4-5 invited talks by experts from machine learning, theoretical computer science, economics, and operations research, as well as contributed talks and posters.

******* Call for Papers *******

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?

******* Submissions Guidelines *******

We solicit submission of published and unpublished works. For the former, we request that the authors clearly state the venue of previous publication. Authors are also encouraged to provide a link to an online version of the paper (such as on arXiv).  If accepted, such papers will be linked via an index to give an informal record of the workshop. This workshop will have no published proceedings. Accepted submissions will be presented as posters or talks.

Submissions can be made in any format and length, but have to be accompanied by a one page summary of the paper, its contributions, and relevance to the workshop (this applies to previously published papers as well).  The review process is not blind. All submissions will be made through EasyChair on or before May 1, 2019, 11:59pm AoE. Notification of acceptance will be on May 20, 2019.

Submissions will be evaluated based on their relevance to the theme of the workshop and the novelty of the work.

******* Important Information *******

Website: https://sites.google.com/view/eclearning2019/

Submission Deadline: May 1, 2019, 11:59pm AoE

Submission page: https://easychair.org/conferences/?conf=eclearning2019

Notification: May 15, 2019

Workshop Date: June 28, 2019

******* Workshop Registration *******

Please refer to the EC 2019 website for registration details.

******* Organizing Committee *******

Omer Ben-Porat, Technion

Nika Haghtalab, Microsoft Research and Cornell University

Yishay Mansour, Tel Aviv University

Tim Roughgarden, Columbia University

******* More Information *******

All questions about submissions should be emailed to: eclearning2019@easychair.org

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