Learning and Decision-Making with Strategic Feedback (StratML'21)


Workshop @ NeurIPS 2021


Workshop Summary

The workshop aims to create a dialogue between different communities broadly studying the dynamics of decision-making and learning with strategic feedback. Technical topics of interest include, but are not limited to, learning in games and economics, optimization in dynamic environments, strategic classification and performativity, behavioral economics, and social welfare in strategic environments. The goal is to identify common points of interest and open problems in the different subareas, as well as to encourage cross-disciplinary collaboration.

Call for Papers



Speakers

Block 1: Optimization in games vs optimization in social settings

Francesca Parise

Lillian Ratliff

Nir Rosenfeld

Block 2: Strategic classification and modeling of agent behavior

Yiling Chen

Moritz Hardt

Navin Kartik

Block 3: Social implications of strategic behavior

Cristobal Cheyre

Jon Kleinberg

Steven Wu


Schedule

The workshop will take place virtually on Tuesday, December 14.
A detailed schedule will be provided by the end of October.

Tentative schedule (times are ET):

10:00 am

10:15 am

12:00 pm

12:20 pm

1:30 pm

3:15 pm

5:00 pm

welcome and opening remarks

Block 1: (talks + panel): Optimization in games vs optimization in social settings

contributed talks

poster session

Block 2: (talks + panel): Strategic classification and modeling of agent behavior

Block 3: (talks + panel): Social implications of strategic behavior

contributed talks




Organizers

Yahav Bechavod

Hoda Heidari

Eric Mazumdar

Celestine
Mendler-Dünner

Tijana Zrnic

Aaron Roth
(Senior Advisor)