#Causal Inference

Causal Inference's Counterfactual Blind Spot

Predictive AI models fail on counterfactual couplings. A new world model using semidefinite kernels offers a solution for robust causal inference.

AI's Discovery-to-Application Bottleneck

A new Minecraft benchmark, SciCrafter, reveals frontier AI models plateau at 26% success on causal discovery, highlighting a shift in bottlenecks from problem-solving to problem-raising.

Standardizing Survival HTE Evaluation

Introducing SurvHTE-Bench, the first comprehensive benchmark for evaluating heterogeneous treatment effects in survival data, promoting reproducible and rigorous research.

9xchange Partners with PhaseV on Causal Machine Learning Clinical Trial Optimization