LTW 2026
Call for Contributions
Learning Theory Workshop, University of Copenhagen, Copenhagen, Denmark, June 26-27, 2026.
We invite submissions to the Learning Theory Workshop, to be held in Copenhagen on June 26-27, 2026.
The workshop aims to bring together researchers working on the theoretical foundations of machine learning, fostering discussion across a broad range of topics at the interface of learning theory, optimization, and modern ML applications.
The workshop is preceded by the Learning Theory Summer School (June 22-25, 2026), which provides a great opportunity to learn about recent advancements at the core of modern machine learning practices. Summer School participants are welcome to register for the workshop.
Topics
The following and related paper categories are welcome:
- Generalization theory
- Optimization methods for machine learning
- Online and reinforcement learning
- Statistical and computational aspects of learning
- Privacy, unlearning, and fairness in machine learning
- Robustness and adversarial settings
- Foundations of deep learning
Submission Guidelines
Submit an abstract of at most 3000 characters for your contribution and optionally a link to a published version or a preprint. Submissions may present new results, work in progress, or recently published work.
The workshop is intended to encourage interaction and exchange of ideas across different areas of learning theory and related fields. The workshop will have no proceedings.
The workshop offers two modes of presentation (the number of contributed talk slots is limited):
- Short talk (tentatively 15-20 minutes) and optional poster
- Poster only
If your abstract is accepted, one of the co-authors must present the contribution in person and register for the workshop by May 24, 2026.
Organizing Committee
- Amartya Sanyal (amsa@di.ku.dk), University of Copenhagen (UCPH)
- Nirupam Gupta (nigu@di.ku.dk), University of Copenhagen (UCPH)
- Sadegh Talebi (sadegh.talebi@di.ku.dk), University of Copenhagen (UCPH)
- Yevgeny Seldin (seldin@di.ku.dk), University of Copenhagen (UCPH)
Contact
Any question about submissions can be emailed to any of the organizing committee members.