Tag: causal inference
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Local Markov Equivalence for Efficient Causal Discovery
Discover controlled direct effects efficiently using Local Markov Equivalence and PC-style algorithms with reduced tests and weaker assumptions.
InferenceEvolve: Automated AI for Causal Effect Estimation
Discover InferenceEvolve, a self-evolving AI framework that automates and outperforms traditional causal effect estimators using large language models.
Bayesian Networks vs Probabilistic Structural Causal Models
Explore how Bayesian networks relate to probabilistic structural causal models using linear algebra and programming for improved causal inference.
Causal Graph Neural Networks Transforming Healthcare AI
Explore how Causal Graph Neural Networks improve healthcare AI by addressing biases and enabling personalized treatment with causal inference.
Enhance Reasoning Tasks with SR2 Causal Framework
Discover how the SR2 framework improves reasoning accuracy by using causal insights and self-refinement in machine learning models.