COPA 2024 - Announcing Our Tutorial Speakers!

[Matteo Fontana]

Dear all,

I hope this message finds you well.

We are pleased to announce the speakers for the tutorials at this year’s Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2024). Join us in Milan, Italy, at the Politecnico di Milano from the 9th to the 11th of September to explore the latest advancements and techniques in the field.

About COPA 2024

COPA is the annual event dedicated to the theory, methodology, and application of conformal and probabilistic prediction. It brings together researchers, practitioners, and enthusiasts from around the globe. COPA 2024 promises to be a hub of cutting-edge research, insightful discussions, and networking opportunities. Whether you're an academic, a data scientist, or an industry professional, COPA offers a unique platform to learn, share, and collaborate.

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.

Meet the 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.

Meet the 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/

We look forward to seeing you in Milan!

Best regards,

Dr. Matteo Fontana

Lecturer in Data Science

Department of Computer Science

School of Engineering, Physical and Mathematical Sciences

Royal Holloway, University of London

matteo.fontana [AT] rhul [DOT] ac [DOT] uk

Prof. Simone Vantini

Associate Professor of Statistics

MOX Laboratory for Modeling and Scientific Computing

Department of Mathematics

Politecnico di Milano

simone.vantini [AT] polimi  [DOT] it