Conference on Learning Theory
The 38th Annual Conference on Learning Theory (COLT 2025) takes place June 30–July 4, 2025 in Lyon, France.

Important Dates
All dates are in 2025.
February 6 (5pm ET) | Submission deadline |
March 28 | Reviews released |
April 4 | Initial author response due |
April 4–11 | Discussion period |
May 2 | Author notification |
June 30–July 4 | Conference |

Conference Organization
Program Chairs
- Nika Haghtalab (UC Berkeley)
- Ankur Moitra (MIT)
Workshops, Tutorials, & Community Events Chairs
- Clément L. Canonne (The University of Sydney)
- Nika Haghtalab (UC Berkeley)
- Ankur Moitra (MIT)
Open Problems Chair
- Vianney Perchet (Crest, ENSAE & Criteo AI Lab)
Publication Chair
- Wojciech Kotłowski (Poznań University of Technology)
Workshops, Tutorials, & Community Events
These events take place on June 30, 2025.
Workshops
- First Workshop on the Foundations of Post-training
- Adam Block, Dylan Foster, Akshay Krishnamurthy, Nived Rajaraman, Ayush Sekhari
- Call for Abstracts
- Submission deadline:
May 19, 2025, 5:00 PM ESTMay 21, 2025, 11:59 PM UTC - Author notification: May 26, 2025
- Submission deadline:
- Workshop on Predictions and Uncertainty
- Jessica Hullman, Vaidehi Srinivas, Aravindan Vijayaraghavan
- Call for Posters
- Poster submission deadline: May 25, 2025 AoE
- Poster acceptance notification: June 1, 2025
- Theory of AI for Scientific Computing
- Misha Khodak, Tanya Marwah, Nick Boffi, Jianfeng Lu, and Andrej Risteski
- Call for Papers
- Paper submission deadline: May 23, 2025 AoE
- Notification of acceptance: June 1, 2025
Tutorials
- How to Make Use of Learning Theory to Learn Efficient ML Models: From PAC-Bayesian Generalization Bounds to (Self-Bounding) Learning Algorithms
- Emilie Morvant, Paul Viallard
- Language Generation in the Limit
- Moses Charikar, Anay Mehrotra, Chirag Pabbaraju, Charlotte Peale, Grigoris Velegkas
- Efficient Learning with Smoothed Data: Bridging Statistical and Online Learning
- Adam Block, Abhishek Shetty
Community event
- Crafting and Communicating a Research Agenda
- Surbhi Goel, Vatsal Sharan, Jess Sorrell, Lydia Zakynthinou, Tijana Zrnic
Satellite event
- Sharp and Foundry: On Frugal and Robust Foundations for Machine Learning
Sponsors
We are very grateful to our sponsors whose extraordinary generosity has been critical to the continued success of the conference, particularly by making it possible for students to attend and present their research. For information about sponsorship opportunities, please contact the sponsorship chairs at sponsorships@learningtheory.org.
Contact Information
- Program Chairs: colt2025programchairs@gmail.com
- Sponsorships: sponsorships@learningtheory.org