Tag: causal inference
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Causal EpiNets: Accurate Bounds on Individual Treatment Effects
Discover how Causal EpiNets use epistemic neural networks to improve precision and reliability in estimating individual treatment effects in causal inferen...
BGM-IV: AI Bayesian Model for Nonlinear Instrumental Variables
Discover BGM-IV, an AI-powered Bayesian approach that improves nonlinear instrumental variable analysis with high-dimensional data and causal inference.
SOM: Enhanced Opponent Modeling for LLM Agents Using SCM
Discover SOM, a novel framework using Structural Causal Models to improve opponent prediction accuracy and stability in LLM-based agents.
Three-in-One World Model for Marketing Prediction & Inference
Discover the Three-in-One world model that boosts marketing interventions with energy-based consistency, prediction, and counterfactual inference technique...
Optimal Experiments for Partial Causal Effect Identification
Discover how optimized experiments improve partial causal effect identification, enhancing research efficiency and causal inference accuracy.