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COPA 2022 : 11th Symposium on Conformal and Probabilistic Prediction with Applications


When Aug 24, 2022 - Aug 26, 2022
Where Brighton, UK
Abstract Registration Due May 1, 2022
Submission Deadline May 8, 2022
Notification Due Jun 23, 2022
Final Version Due Jul 7, 2022

Call For Papers

The 11th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2022) will be held from August 24th to 26th, 2022, at University of Brighton, United Kingdom. Submissions are invited on original and previously unpublished research concerning all aspects of conformal and probabilistic prediction.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 method that allows to make valid predictions under relatively weak statistical assumptions. CP can be used to form set predictions, using any underlying point predictor, allowing the error levels to be controlled by the user. Therefore, CPs have been widely applied to many practical real life challenges.

Building on the work on CP, various extensions have been developed recently. 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 and their applications to interesting problems in any field.

Topics of the symposium include, but are not limited to:

- Theoretical analysis of conformal prediction, including performance guarantees
- Applications of conformal prediction in various fields, including bioinformatics, drug discovery, medicine, and information security
- Novel conformity measures
- Conformal change-point detection
- Conformal anomaly detection
- Conformal martingale testing
- Venn prediction and other methods of multiprobability prediction
- Conformal predictive distributions
- Probabilistic prediction
- On-line compression modelling
- Prediction in: Machine learning, Pattern recognition, Data mining, Transfer learning
- Algorithmic information theory
- Implementations of conformal prediction frameworks and algorithms
- Conformal prediction for explainable machine learning and Fairness, Accountability and - Transparency (FAT)
- Data visualization
- Big data applications

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:

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 (physically or online) to present the work.

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).

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.

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