AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes Transfer Calibrated Prediction-Powered Prediction-Powered Inference (TC-PPI), adapting the source-domain predictor to the target domain using gold-standard samples through cross-fitting, and develops a jointly tuned cross-fit estimator that maintains unbiasedness and is simultaneously at least as eff...
A novel instrumental variable estimator is developed that accommodates multivariate outcomes, sparse networks, and multidimensional latent homophily and is shown to be $\sqrt{N}$-consistent and asymptotically normal under sparsity conditions that relax dense-network assumptions prevalent in the peer effect literature.
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