Prediction-powered inference for time series across space
Researchers adapt prediction-powered inference to give valid intervals for temporally dependent spatial time series.
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Stories tagged #prediction-powered-inference
Prediction-powered Neural Architecture Search
PPNAS combines scarce architecture labels with zero-cost proxies for label-efficient neural architecture search.
Prediction-Powered Smoothing and Validation for Disaggregated AI Evaluation
Researchers propose prediction-powered smoothing (PP-S/PP-TS), Bayesian small-area estimators that improve disaggregated AI evaluation accuracy and validation.
Prediction-Powered Smoothing and Validation for Disaggregated AI Evaluation
Paper proposes prediction-powered smoothing (PP-S/PP-TS) and a design-based cross-validation score to improve disaggregated AI evaluation estimates when labeled data is scarce.