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.
