[Call for Papers] COPA 2026
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Johan Hallberg
Dec 11, 2025, 8:29:42 AM12/11/25
to Conformal prediction
Dear Colleagues,
We are delighted to invite you to the 15th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2026), taking place September 2–4, 2026 in Gothenburg, Sweden.
📍 Venue: Mölnlycke Health Care, GoCo Health Innovation City
🌐 Website: https://copa-conference.com/
🔗 Submit here: https://cmt3.research.microsoft.com/COPA2026
Theme: Located in GoCo Health Innovation City—one of Sweden’s newest and most vibrant centers for life science—this year's symposium offers a unique opportunity to connect theory with practice. While we welcome papers on all aspects of Conformal Prediction (Theory, Algorithms, FAT, Time Series), we particularly encourage contributions related to healthcare, biostatistics, and safety-critical applications.
Topics include:
* Theoretical analysis and optimality guarantees.
* Applications (Bioinformatics, Medicine, LLMs, Security, Industry, Commerce).
* Distribution-free uncertainty quantification.
* Venn prediction and multi-probability prediction.
(See website for full list).
Publication: Proceedings of Machine Learning Research (PMLR). Deadline: May 1, 2026.
We look forward to seeing you in Sweden!
Best regards,
Johan Hallberg Szabadváry and COPA 2026 committee
We are delighted to invite you to the 15th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2026), taking place September 2–4, 2026 in Gothenburg, Sweden.
📍 Venue: Mölnlycke Health Care, GoCo Health Innovation City
🌐 Website: https://copa-conference.com/
🔗 Submit here: https://cmt3.research.microsoft.com/COPA2026
Theme: Located in GoCo Health Innovation City—one of Sweden’s newest and most vibrant centers for life science—this year's symposium offers a unique opportunity to connect theory with practice. While we welcome papers on all aspects of Conformal Prediction (Theory, Algorithms, FAT, Time Series), we particularly encourage contributions related to healthcare, biostatistics, and safety-critical applications.
Topics include:
* Theoretical analysis and optimality guarantees.
* Applications (Bioinformatics, Medicine, LLMs, Security, Industry, Commerce).
* Distribution-free uncertainty quantification.
* Venn prediction and multi-probability prediction.
(See website for full list).
Publication: Proceedings of Machine Learning Research (PMLR). Deadline: May 1, 2026.
We look forward to seeing you in Sweden!
Best regards,
Johan Hallberg Szabadváry and COPA 2026 committee
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