posted by user: Arsenal || 347 views || tracked by 3 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
ICML 2024   International Conference on Machine Learning
SPIE-Ei/Scopus-DMNLP 2025   2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025)-EI Compendex&Scopus
COPA 2024   13th Symposium on Conformal and Probabilistic Prediction with Applications
21st AIAI 2025   21st (AIAI) Artificial Intelligence Applications and Innovations
IEEE-Ei/Scopus-CNIOT 2025   2025 IEEE 6th International Conference on Computing, Networks and Internet of Things (CNIOT 2025) -EI Compendex
Bayes-Duality 2024   2nd Bayes-Duality Workshop
AMLDS 2025   IEEE--2025 International Conference on Advanced Machine Learning and Data Science
IEEE CACML 2025   2025 4th Asia Conference on Algorithms, Computing and Machine Learning (CACML 2025)
CETA--EI 2025   2025 4th International Conference on Computer Engineering, Technologies and Applications (CETA 2025)