Highlight a (HA)

Easy and privacy-preserving modeling tools

Developing AI is still difficult and time-consuming, especially for probabilistic approaches. Many of FCAI’s research contributions are about making it easier. FCAI Highlight Program A exists to make sure this research has quantifiable impact for people building AI in industry and academia.

Examples of publications:

• Petrus Mikkola, Osvaldo A. Martin, Suyog Chandramouli, Marcelo Hartmann, Oriol Abril Pla, Owen Thomas, Henri Pesonen, Jukka Corander, Aki Vehtari, Samuel Kaski, Paul-Christian Bürkner, Arto Klami. 2021. Prior knowledge elicitation: The past, present, and future.

• Marcelo Hartmann, George Agiashivili, Paul-Christian Bürkner, Arto Klami. 2020. Flexible Prior Elicitation via the Prior Predictive distribution. Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI).

• Måns Magnusson, Michael Riis Andersen, Johan Jonasson, Aki Vehtari. 2020. Leave-one-out cross-validation for Bayesian model comparison in large data. Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR, 108.

Program poster (pdf)

Coordinating professor: Arto Klami – arto.klami at helsinki.fi

People

The groups of following PIs take part in this Highlight. If you would like to join the Highlight, please contact the coordinating professor.

• Luigi Acerbi, University of Helsinki

• Jukka Corander, University of Helsinki, University of Oslo

• Antti Honkela, University of Helsinki

• Samuel Kaski, Aalto University

• Arto Klami, University of Helsinki – coordinating professor

• Antti Oulasvirta, Aalto University

• Aki Vehtari, Aalto University