Topics

Topics of interest include, but are not limited to:

• Causal discovery and causal inference;

• Causal representation learning;

• Causal agent and reinforcement learning;

• Causal fairness;

• Causality for safe and explainable AI;

• Causality and large models;

• Datasets and benchmarks on causality;

• Applications of causal techniques in healthcare, e-commerce, social science, etc.