11th Symposium on Conformal and Probabilistic Prediction with Applications

Theme


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 Submissions are invited on original and previously unpublished research concerning all aspects of conformal and probabilistic prediction.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


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:

https://easychair.org/conferences/?conf=copa2022

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.

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).

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.

https://groups.google.com/conformal-prediction

Instructions for the Authors of Accepted Papers


All accepted papers will be presented at the conference and published by the Proceedings of Machine Learning Research (PMLR). Volume 179.

Please make sure to use the correct style file; it should be already installed on your computer, or will be installed "on the fly". The camera-ready papers should follow the style of the Proceedings section of JMLR rather than JMLR itself.

In the end you should prepare two files: (1) your paper in PDF format; (2) the copyright form (http://proceedings.mlr.press/pmlr-license-agreement.pdf). Please upload the final version of your paper in PDF via EasyChair and email the signed copyright form to K.A.Nguyen@brighton.ac.uk

The beginning of your file will look like:

									  \documentclass[wcp]{jmlr}
									  \usepackage{amsmath,amssymb,graphicx,url}
									  \jmlrvolume{179}
									  \jmlryear{2022}
									  \jmlrworkshop{Conformal and Probabilistic Prediction with Applications}
									  \jmlrproceedings{PMLR}{Proceedings of Machine Learning Research}

									  \title{Nonparametric predictive distributions based on conformal prediction}
									  \author{\Name{John Smith}\Email{j.smith@gmail.com}\\
										\addr{Royal Holloway, University of London, Egham, Surrey, UK}\\
										\Name{Minge Shen}\Email{m.shen@gmail.com}\\
										\addr{Rutgers University, New Brunswick, NJ, USA}}
									  \editor{Ulf Johansson, Henrik Boström, Khuong An Nguyen, Zhiyuan Luo and Lars Carlsson}

									  \begin{abstract}
										This paper applies conformal prediction to derive predictive distributions that are valid under a nonparametric assumption.
									  \end{abstract}

									  \begin{keywords}
										Conformal prediction, predictive distributions, regression.
									  \end{keywords}

Notice the presence of the command 

									  \jmlrproceedings{PMLR}{Proceedings of Machine Learning Research}

Please let us know if you encounter any problems following these instructions.

For further information (which, however, can be confusing), see http://jmlr.org/proceedings/faq.html (under the heading "What is the Style File for the Proceedings?"); COPA 2021 uses the one column style file. The style file is available from the CTAN (Comprehensive TeX Archive Network) web site at http://ctan.org/tex-archive/macros/latex/contrib/jmlr you can go inside the directory called "sample_papers" and emulate the files jmlr_sample.tex and jmlr_sample.bib (the latter is only needed if you use bibtex).

Some useful advices on the JMLR style can be found at http://jmlr.org/format/format.html (However, please make sure to use the Proceedings style, as described above, rather than the main journal style).

Invitation letter for UK Visa application


Authors who need a UK Visa, please send an email request to K.A.Nguyen@brighton.ac.uk, including the passport number, name (as appeared on passport), nationality, current institution, and your plan to fund the trip (e.g., by yourself or by university).
We aim to send the invitation letter within 7 days.

Gold Sponsor

11th Symposium on Conformal and Probabilistic Prediction with Applications