#causal-discovery News & Analysis

27 articles tagged with #causal-discovery. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

27 articles

AINeutralarXiv – CS AI · Mar 24/106

🧠

Operationalizing Longitudinal Causal Discovery Under Real-World Workflow Constraints

Researchers developed a framework for causal discovery in longitudinal data systems that addresses real-world workflow constraints by incorporating institutional protocols and timeline structures. The method was tested on a large Japanese health screening dataset with over 100,000 individuals, showing improved structural interpretability without requiring domain-specific specifications.

AINeutralarXiv – CS AI · Mar 24/109

🧠

Embracing Discrete Search: A Reasonable Approach to Causal Structure Learning

Researchers introduce FLOP, a new causal discovery algorithm for linear models that significantly reduces computation time through fast parent selection and Cholesky-based score updates. The algorithm achieves near-perfect accuracy in standard benchmarks and makes discrete search approaches viable for causal structure learning.

$NEAR

← PrevPage 2 of 2