Fundamental Challenges in Causality

from May 9, 2023 to May 12, 2023

The center Artificial intelligence for science, science for artificial intelligence (AISSAI) and CNRS with additional support from MIAI, Sorbonne University, University Paris Saclay, DataIA Institut, organize the Colloquium on Fundamental Challenges in Causality in Grenoble.

The colloquium on Fundamental Challenges on Causality (FunCausal) aims to bring together researchers interested in causality and willing to discuss novel approaches to causal discovery and causal inference. FunCausal will explore topics related to, but not limited to:

  • Causal discovery
  • Causal learning and control problems
  • Theoretical foundation of causal inference
  • Causal inference and active learning
  • Causal learning in low data regime
  • Reinforcement learning
  • Causal machine learning
  • Causal generative models
  • Benchmark for causal discovery and causal reasoning

FunCausal will welcome seven keynote speakers: Robin Evans, Hervé Isambert, Jakob Runge, Michèle Sebag, Ilya Shpitser, Mihaela Van der Schaar, and Kun Zhang.

Date and place

9-12th May 2023. IMAG

See the programme
Published on May 2, 2023