Online Learning and Economics

The workshop focuses on the intersection of online learning and economics, exploring how learning algorithms are increasingly used for decision-making in strategic economic settings such as markets and platforms. The event brings together researchers from diverse fields to discuss current challenges, share recent advances, and foster collaboration. The scope of the workshop extends beyond online learning to encompass other relevant domains of machine learning, including, for example, learning theory and reinforcement learning.

Website to the First Edition (link)

• 09:00 – 10:30 First Session of Invited Talks - Room 6

• 10:30 – 11:00 Coffee Break

• 11:00 – 12:30 Second Session of Invited Talks - Room 6

• 12:30 - 14:00 Lunch / Poster session

For details on which posters are assigned to each session, please refer to the Accepted Posters section.

TBD

Important Dates (All times are 11:59 PM AoE)

• Submission Deadline: 31/5/2026

• Notification of Acceptance: 5/6/2026

• Workshop Date:  July 6, 2025

OLE 2026 aims to provide a venue for researchers to explore and discuss recent trends in topics at the intersection of online learning and economics.  We welcome submissions that explore this space along various directions, including (but not limited) to:

• Learning in repeated auctions

• Learning in mechanism/contract/information design

• Learning in markets

• No-regret learning and convergence to equilibria

• (Online) Calibration

Submission Guidelines

• Submission Platform: https://ole2026.hotcrp.com/

• The preferred format is a 2-page abstract. Longer submissions are welcome, but only the first two pages are guaranteed to be reviewed.

• Submissions will be evaluated based on relevance to the workshop, academic quality, and potential impact.

This is a non-archival workshop. We encourage the submission of work that has been recently published, is under review, or is in progress. Submissions need not be anonymized and authors are encouraged to point to extended versions of their submissions available on public repositories. 

Presentation Format

Authors of accepted submissions will be invited to present their work during a poster session at the workshop. 

TBD

ole.ec.2026@gmail.com