Learning in Presence of Strategic Behavior

(NeurIPS 2021 Workshop)

In recent years, machine learning has been called upon to solve increasingly more complex tasks and to regulate many aspects of our social, economic, and technological world. These applications include learning economic policies from data, learning personalized models across populations of users, and ranking qualified candidates for admission, hiring, and lending. These tasks take place in a complex social and economic context where the learners and objects of learning are often people or organizations that are impacted by the learning algorithm and, in return, can take actions that influence the learning process. Learning in this context calls for a new vision for machine learning and economics that aligns the incentives and interests of the learners and other parties and is robust to the evolving social and economic needs.

This workshop's main goal is to address current challenges and opportunities that arise from interactions of learning systems with social and strategic agents. This workshop aims to bring together members of different communities, including machine learning, economics, theoretical computer science, and social computing, to share recent results, discuss important directions for future research, and foster collaborations. The workshop will include keynote presentations, moderated discussions, contributed talks, and poster sessions.

Consider contributing to the workshop - see the call for papers!

Virtual Website Link: https://nips.cc/virtual/2021/workshop/21844

Plenary Speakers

Dorsa Sadigh

(Stanford University)

Vincent Conitzer

(Duke University)

Susan Athey

(Stanford University)

Michael I. Jordan

(UC Berkeley)

In addition to their plenary talks, the workshop will have two moderated discussions on "Opportunities for ML in Econ, and Vice Versa" and on "Achieving Agent Coordination in Theory and Practice".



The workshop takes place virtually on Monday, December 13.

(see NeurIPS virtual site for all details)

(see the detailed program here)

Time (PT)

08:50 - 09:00 Opening remarks

09:00 - 09:40 Keynote 1: Michael Jordan

09:40 - 10:20 Keynote 2: Susan Athey

10:20 - 10:50 Moderated discussion: "Learning and Economics: A Vision for Future Research and Development"

10:50 - 11:10 Break

11:10 - 12:00 Paper highlights x 5

12:00 - 1:00 Poster session on Gather

13:00 - 13:40 Keynote 3: Dorsa Sadigh

13:40 - 14:20 Keynote 4: Vince Conitzer

14:20 - 14:50 Moderated discussion: "Achieving Agent Coordination in Theory and Practice"

14:50 - 15:00 Closing remarks and moving to socialize on Gather


Omer Ben-Porat

Tel-Aviv University

Nika Haghtalab

UC Berkeley

Annie Liang

Northwestern University

Yishay Mansour

Google Research, Tel Aviv University

David C. Parkes

Harvard University