Policy Evaluation under Interference
summary
Compares two concrete interference approaches: a graphon central limit theorem for network interference that gives root-n convergence for the direct effect (variance inflation captured by an explicit Qi term), shows a naive Horvitz–Thompson-style estimator for the indirect effect diverges but becomes valid after removing principal components of the adjacency matrix via PCA, and an equilibrium approach for marketplaces that estimates a marginal response by regressing on small mean-zero payment perturbations to produce a policy gradient. Simulations and theory show orders-of-magnitude improvement and log T vs sqrt T regret.
AI-written summary · about
chapters (10)
- 0:00Introduction
- 1:46Interference
- 5:31Network Interference
- 9:03Direct Effect
- 17:05Agricultural Subsidies
- 17:55No Network Structure
- 18:40Concrete Application
- 20:27Two Approaches
- 23:48Results
- 27:45Questions
related talks
49mCausal Inference in Complex Systems: Network Interference, Strategic Agents, and Beyond
33mSimple Yet Efficient Estimators For Network Causal Inference...
28mConfounding-Robust Policy Evaluation In Infinite-Horizon Reinforcement Learning
45mInference and Interference in Marketplace Experimentation
09mTowards Credible and Effective Data-Driven Decision-Making
30mCounterfactual Inference For Sequential Experiment Design
14mInformation, Learning, And Incentive Design For Societal Networks
01h 08mAn Introduction to Potential Outcomes, DAGs and Single-World Intervention Graphs
