posted by user: Arsenal || 1338 views || tracked by 5 users: [display]

COPA 2025 : 14th Symposium on Conformal and Probabilistic Prediction with Applications

FacebookTwitterLinkedInGoogle

Link: https://copa-conference.com/
 
When Sep 10, 2025 - Sep 12, 2025
Where United Kingdom
Submission Deadline May 1, 2025
Notification Due Jun 15, 2025
Final Version Due Jul 1, 2025
Categories    machine learning   uncertainty quantification   probabilistic prediction   ai applications
 

Call For Papers

The aim of this conference is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers on any aspect of conformal and probabilistic prediction, including their application to interesting problems in any field.

Conformal prediction (CP) is a modern machine and statistical learning method that allows to develop valid predictions under weak probabilistic assumptions. CP can be used to form set predictions, using any underlying point predictor, and for very general target variables, allowing the error levels to be controlled by the user. CP has been widely used to develop robust forms of probabilistic prediction methodologies, and applied to many practical real life challenges.

Topics include, but are not limited to:

- Theoretical analysis of conformal prediction, including performance guarantees and optimality results.
- Applications of conformal prediction in various fields, including bioinformatics, medicine, large language models and information security.
- Software implementations of conformal and probabilistic prediction frameworks and methods.
- Novel conformity measures.
- Distribution-free uncertainty quantification.
- Conformal anomaly detection.
- Conformal martingale testing and change-point detection.
- Venn prediction and other methods of multi-probability prediction.
- Distributional prediction and conformal predictive distributions.
- Algorithmic theory of randomness.
- Conformal prediction for explainability, causality and fairness, accountability and transparency (FAT).
- Probabilistic prediction.
- On-line compression modelling.

The committee is open to consider any other recent and cutting edge development related to Conformal and Probabilistic Prediction.

All accepted papers will be presented at the conference and published in the PMLR (Proceedings of Machine Learning Research). Good papers will be invited to submit an extended version in a journal special issue.

Related Resources

IEEE-Ei/Scopus-ITCC 2025   2025 5th International Conference on Information Technology and Cloud Computing (ITCC 2025)-EI Compendex
DSA 2025   The 12th International Conference on Dependability Systems and Their Applications
AMLDS 2025   IEEE--2025 International Conference on Advanced Machine Learning and Data Science
ITA 2026   International Congress on Information, Technology and Applications
IEEE-Ei/Scopus-CNIOT 2025   2025 IEEE 6th International Conference on Computing, Networks and Internet of Things (CNIOT 2025) -EI Compendex
ECSQARU 2025   18th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
IEEE CNCIT 2025   2025 4th International Conference on Networks, Communications and Information Technology (CNCIT 2025)
PREDICTION SOLUTIONS 2025   International Conference on Prediction Solutions for Technical and Societal Systems
CoEEPE 2025   2025 5th International Joint Conference on Energy, Electrical and Power Engineering (CoEEPE 2025)
Ei/Scopus-IPCML 2025   2025 International Conference on Image Processing, Communications and Machine Learning (IPCML 2025)