#causal inference
Causal Inference: 6 AI articles covering causal inference news, analysis, and research
Articles
When Do Causal World Models Help Modular LLM Agents⭐8
Causal world models improve modular LLM agents most in structured tool environments where cross-module interfaces are identifiable and decision-relevant at acti...
Product Experimentation at Scale: How Airbnb, Netflix, Lyft, and⭐7
How Airbnb, Netflix, Lyft, and Uber use causal inference to measure LLM feature impact at scale—revealing key techniques and pitfalls.
Product Experimentation with Doubly Robust Estimation: When Both⭐8
When both your propensity and outcome models are wrong, doubly robust estimation keeps LLM experiment results consistent—if at least one model holds.
DoTime: A Synthetic Benchmark Generator for Interventional and⭐7
DoTime offers open, scalable synthetic data for evaluating causal time-series methods, with continuous-time interventions and counterfactual sampling.
Product Experimentation with Instrumental Variables:⭐9
Learn how to overcome confounded routing decisions in LLM gateways using instrumental variables for unbiased causal inference in Python product experiments.
CausalGate: Causal Importance Distillation for Transformer⭐8
CausalGate uses causal importance distillation to prune transformer modules, reducing compute and latency in LLMs without runtime overhead.