Short papers
Submissions presenting recent work on calibration, limited to 4 pages (excluding references and appendices), formatted using AISTATS LaTeX style.
Machine Learning/CORE Unranked
Calibration for Modern AI @ AISTATS 2026
Towards Trustworthy Predictions: Theory and Applications of Calibration for Modern AI
The Calibration for Modern AI workshop at AISTATS 2026 focused on calibration—the alignment between predicted probabilities and observed frequencies—as a cornerstone of trustworthy AI systems. It brought together researchers from machine learning, statistics, and applied domains to advance theory, evaluation, and practical applications of calibration through tutorials, invited talks, posters, and discussions.
Key deadlines
Verified September 9, 2026Full paper
February 28, 2026
AoE
Conference timeline
Submission and decisions
Full paperKey deadline
February 28, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Main conference papers
Papers already accepted at the main AISTATS 2026 conference can be registered for presentation at the workshop poster session via a separate form.
Research areas in scope
01
Topics
Foundations of calibration and probabilistic forecastingCalibration metrics and evaluation methodologiesProper scoring rules and decision-theoretic perspectivesCalibration in high-dimensional and multiclass settingsPost-hoc and end-to-end calibration methodsCalibration under distribution shiftCalibration for generative models and large language modelsCalibration in high-stakes applications (e.g., medicine, forecasting, finance)Connections between calibration, uncertainty, and trust in AI
Policies worth checking twice
- Submissions under review at other venues are allowed.
- All accepted papers are non-archival and will be made publicly available on OpenReview.
- The review process is double-blind.
- Submissions must be formatted using the AISTATS LaTeX style.
- Papers are limited to 4 pages (excluding references and appendices).
- Reviewers may not carefully read appendices; the main text must stand alone.
- A free AISTATS 2026 registration is offered to the best student-led submission.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026