Machine learning (ML) has achieved remarkable success in prediction tasks. In many real-
world scenarios, rather than solely predicting an outcome using an ML model, the crucial …

In reinforcement learning, it is crucial to have an accurate environment dynamics model to
evaluate different policies' value in downstream tasks like offline policy optimization and …

Abstract Machine learning (ML) has made significant advancements across various
domains, with a shifting focus from purely predictive tasks to decision-making. The recent …

Maximal ancestral graph (MAG) is a prevalent graphical model to characterize causal
relations in the presence of\emph {latent variables} including latent confounders and …