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DAYS
Theme
The 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023) will be held from the 13th to the 15th of September 2023, at the Miramare Beach Hotel in Limassol, Cyprus. Submissions are invited on original and previously unpublished research concerning all aspects of conformal and probabilistic prediction. The symposium proceedings will be published in the Proceedings of Machine Learning Research.
Conformal prediction (CP) is a modern machine learning framework that allows making valid predictions under relatively weak statistical assumptions. CP can be combined with any conventional predictor for producing set predictions with a guaranteed accuracy, thus allowing the error levels to be controlled by the user. Consequently, CP has been widely applied to practical real-life challenges and formed the basis for the development of many novel approaches and extensions.
The aim of this symposium 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.
Topics
Topics of the symposium include, but are not limited to:
- Theoretical analysis of conformal prediction, including performance guarantees
- Novel conformity measures
- Conformal change-point detection
- Conformal anomaly detection
- Conformal martingale testing
- Conformal multi-label classification and multi-target regression
- Venn prediction and other methods of multiprobability prediction
- Conformal predictive distributions
- Probabilistic prediction
- On-line compression modelling
- Implementations of conformal prediction frameworks and algorithms
- Adoption of conformal prediction to new settings
- Conformal prediction for explainable machine learning and Fairness, Accountability and Transparency (FAT)
- Applications of conformal prediction in various fields, including bioinformatics, drug discovery, medicine, natural language processing, transportation, robotics and information security
Paper submission
Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 20 pages formatted according to the well-known JMLR (Journal of Machine Learning Research) style. The LaTeX package for the style is available here.
All aspects of the submission and notification process will be handled online via the EasyChair Conference System at:
https://easychair.org/conferences/?conf=copa2023
Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the symposium to present the work.
Publication
Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. All accepted papers will be presented at the Symposium and published in the PMLR (Proceedings of Machine Learning Research), Volume 204.
Alexey Chervonenkis awards
There will be two Alexey Chervonenkis awards for the Best Paper and Best Student Paper, presented at the conference. Each awardee will receive €100 and a certificate.
Research group
Researchers interested in Conformal Prediction may be interested in joining our online discussion group. Future announcements and related materials will be published regularly.
