Author

Srinivasan Parthasarathy

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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

#machine learning Preprint Sep 2026

Pathwise Individual Rationality in Federated Learning: A Mechanism-Architecture Co-Design

Participation in federated learning (FL) comes at a cost. Clients trade off privacy, communication, and compute costs for potentially greater gains in model efficacy. This paper explores this tradeoff under the aegis of individual rationality (IR) versus autarky, the basic game-theoretic requirement that the federation...

Amin Meghrazi, Srinivasan Parthasarathy, A. Perrault · 0 citations