CfP: 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023)

[Harris Papadopoulos]

[ Please distribute - apologies for multiple postings ]

*** Call for Papers ***

The 12th Symposium on Conformal and Probabilistic Prediction with
Applications (COPA 2023)

September 13-15, 2023, Miramare Beach Hotel, Limassol, Cyprus

https://copa-conference.com/


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Submissions are invited on original and previously unpublished research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

- Abstract Submission Deadline: March 17th, 2023
- Paper Submission Deadline: March 24th, 2023
- Author Notifications: May 8th, 2023
- Camera-ready Submission Deadline: May 31st, 2023
- Symposium Dates: September 13th - 15th, 2023

SUBMISSIONS

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 at:

https://ctan.org/tex-archive/macros/latex/contrib/jmlr

All aspects of the submission and notification process will be handled
online via the EasyChair Conference System at:

https://easychair.org/conferences/?confcopa2023

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).