Author

Subhadeep Paul

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#machine learning Preprint Sep 2026

Transfer Calibrated Prediction Powered Inference

Prediction-powered inference (PPI) and its power-tuned extension (PPI++) improve confidence intervals by combining a small gold-standard labeled sample with a large AI model's predictions. Its efficiency gain relies on low residual variance, which may not hold if the predictor is pre-trained on a different source domai...

Aditya T. Vadlamani, Jae Ho Chang, Srinivasan Parthasarathy et al. · 0 citations

#artificial intelligence Preprint Sep 2025

Recidivism Prediction, Peer Effect Estimation, and Prediction-Powered Inference with LLM Text Measures

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.

Shanjukta Nath, Jiwon Hong, Jae Ho Chang et al. · 0 citations