[ Please distribute - apologies for multiple postings ] The paper submission deadline has passed, but you can still give a short presentation of your work at COPA 2023 by submitting a 2-page extended abstract that will be published in the Symposium proceedings.
The deadline for extended abstract submission is the 8th of May. You can submit at any time before that, though, and we will provide you with a decision within one week. *** Call for Extended Abstracts *** The 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023) September 13-15, 2023, Miramare Beach Hotel, Limassol, Cyprus https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcopa-conference.com%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C882ed81dbbd145c705d408db40b3a5f3%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638174912550090817%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=0VbhxqFk3u38P0C9KuTiyS46n7qzdov0eb4PLpUb9tw%3D&reserved=0 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 Submissions are invited on original and previously unpublished research concerning all aspects of conformal and probabilistic prediction.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. AWARDS There will be two Alexey Chervonenkis awards for the best paper and the best student paper. Each awardee will receive a certificate and a monetary prize of €100. TOPICS The 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 - Algorithmic information theory - Adoption of conformal prediction to new settings - Implementations of conformal prediction frameworks and algorithms - Conformal prediction for explainable machine learning and Fairness, Accountability and Transparency (FAT) - Applications of conformal prediction in various fields, including bioinformatics, drug discovery, biomedicine, natural language processing, transportation, robotics and information security IMPORTANT DATES - Extended Abstract (2-pages) Submission Deadline: May 8th, 2023 (decision within one week of submission) - Camera-ready Submission Deadline: May 31st, 2023 - Symposium Dates: September 13th - 15th, 2023 SUBMISSIONS Extended abstracts should be no longer than 2 pages formatted according to the well-known JMLR (Journal of Machine Learning Research) style. The LaTeX package for the style is available at: https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fctan.org%2Ftex-archive%2Fmacros%2Flatex%2Fcontrib%2Fjmlr&data=05%7C01%7Cuai%40engr.orst.edu%7C882ed81dbbd145c705d408db40b3a5f3%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638174912550090817%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=tSSYUWr1sUWt0v%2BCw8%2Fz9SGpo1blRhjjqSkU%2ByE9btA%3D&reserved=0 All aspects of the submission and notification process will be handled online via the EasyChair Conference System at: https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Feasychair.org%2Fconferences%2F%3Fconf%3Dcopa2023&data=05%7C01%7Cuai%40engr.orst.edu%7C882ed81dbbd145c705d408db40b3a5f3%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638174912550090817%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=sGXeXdefc7wwfo3kx%2Fb5CGbCmEynCwNGs4PU5obNVks%3D&reserved=0 Submission of an extended abstract should be regarded as a commitment that, should it be accepted, at least one of the authors will register and attend the symposium to present the work. PUBLICATION All accepted extended abstracts will be presented at the Symposium and published in the PMLR (Proceedings of Machine Learning Research).
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