Author

A. Leite

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Jul 2026

Knowledge-Informed Local Causal Discovery of Optimal Adjustment Sets

Local causal discovery is a scalable alternative to global structure learning. However, it can struggle to identify valid adjustment sets in data-scarce settings because of finite-sample uncertainty, incomplete local neighborhoods, and unresolved Markov equivalence. Although many application domains provide structured...

S. Ahn, A. Leite, José Lucas De Melo Costa et al. · arXiv.org · 0 citations

#artificial intelligence Nov 2025

CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine Learning

This work offers the first random generator of synthetic causal benchmarks with coverage guarantees and transparent assumptions operating on the three levels of causal reasoning: observation, intervention, and counterfactual, and demonstrates its utility by evaluating several state-of-the-art methods under diverse cond...

Panayiotis N. Panayiotou, Audrey Poinsot, A. Leite et al. · arXiv.org · 0 citations