(co-located with STOC at 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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