Dear all,

We are pleased to announce the speakers for the tutorials at this year’s Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2024) that will be held in Milan, Italy, at the Politecnico di Milano from the 9th to the 11th of September 2024.

COPA is the annual event dedicated to the theory, methodology, and application of conformal and probabilistic prediction. It brings together researchers and practitioners from around the globe. COPA 2024 promises to be a hub of cutting-edge research, insightful discussions, and networking opportunities.

Tutorial #1: Conformal Prediction in Python with crepes

What to Expect: Discover the capabilities of crepes, a Python package that transforms standard classifiers and regressors into well-calibrated tools with reliable p-values and prediction sets. Prof. Henrik Boström will guide you through the core algorithms and demonstrate practical applications of conformal classifiers, regressors, and predictive systems using crepes.

Tutorial Speaker: Prof. Henrik Boström from KTH Royal Institute of Technology, Stockholm, Sweden, is a leading expert in machine learning algorithms. With a focus on conformal prediction, ensemble learning, and explainable machine learning, Henrik has significantly contributed to various industries, including pharmaceuticals, healthcare, automotive, and insurance. His editorial and conference roles further underscore his influence in the field.

Tutorial #2: MAPIE - Uncertainty Quantification Made Easy

What to Expect: Explore MAPIE, a versatile Python library that simplifies the implementation of conformal prediction methods. Dr. Thibault Cordier will show you how MAPIE, part of the scikit-learn-contrib project, can handle tasks from classification and regression to more complex applications like multi-label classification and semantic segmentation, ensuring probabilistic guarantees on key metrics.

Tutorial Speaker: Dr. Thibault Cordier from Lab Invent of Capgemini Invent, France, is a Data and Research Scientist leading the MAPIE project. With a PhD in Computer Science, his research focuses on distribution-free inference and conformal prediction, applied across computer vision, natural language processing, and time series analysis.

For more details and to register, please visit the COPA 2024 Website at https://copa-conference.com/. Early bird registration fees are available until May 30, 2024.

We look forward to seeing you in Milan!

Kind regards,

Simone Vantini Associate Professor of Statistics MOX Laboratory for Modeling and Scientific Computing Department of Mathematics, Politecnico di Milano simone.vantini@polimi.itmailto:simone.vantini@polimi.it

Matteo Fontana Lecturer in Data Science Department of Computer Science School of Engineering, Physical and Mathematical Sciences, Royal Holloway, University of London matteo.fontana@rhul.ac.ukmailto:matteo.fontana@rhul.ac.uk