Elias Bareinboim

The Causal-Neural Connection: Expressiveness, Learnability, and\n Inference

2021 · arXiv (Cornell University)

One of the central elements of any causal inference is an object called\nstructural causal model (SCM), which represents a collection of mechanisms and\nexogenous sources of random variation of the system under investigation (Pearl,\n2000). An important …

Scores for Learning Discrete Causal Graphs with Unobserved Confounders

2024 · Proceedings of the AAAI Conference on Artificial Intelligence

Structural learning is arguably one of the most challenging and pervasive tasks found throughout the data sciences. There exists a growing literature that studies structural learning in non-parametric settings where conditional independence constraints are taken …