Contributed Talks
Short oral presentations (20 minutes including Q&A) selected from submitted papers, covering theoretical and applied research in learning theory.
Machine Learning/CORE Unranked
LTW 2026
Learning Theory Workshop 2026
LTSS Copenhagen 2026 is a two-part event combining a four-day summer school and a two-day workshop focused on modern learning theory and responsible machine learning. The summer school targets PhD students, master’s students, early-career researchers, and industry professionals, covering core topics like generalization, optimization, online learning, and privacy, while the workshop features invited talks, contributed presentations, and poster sessions for scientific exchange within the learning theory community.
Key deadlines
Verified September 9, 2026Full paper
May 15, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
May 15, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Posters
Poster presentations displayed during a dedicated social event, showcasing accepted contributions alongside contributed talks.
Research areas in scope
01
Learning Theory Topics
GeneralizationOptimization for MLOnline learningReinforcement learningResponsible MLPrivacyRobustnessDifferential privacyUnlearningActive learningPAC-Bayesian theorySample complexityAdversarial learningCausal banditsNeural networks and polytopesDiffusion modelsData memorizationConformal guaranteesFair classificationNash equilibriaUncertainty quantificationOnline convex optimizationDimensionality reduction
Policies worth checking twice
- Submissions are selected for either contributed talks or posters.
- Accepted contributions are publicly listed on the workshop website.
- Contributions are drawn from prior venues such as ICML, COLT, ICCV, TPDP, PODS, and TMLR, indicating prior peer review.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026