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stat.ME2026
M-estimation under Two-Phase Multiwave Sampling with Applications to Prediction-Powered Inference
Dan M. Kluger, Stephen Bates
In two-phase multiwave sampling, inexpensive measurements are collected on a large sample and expensive, more informative measurements are adaptively obtained on subsets of units a…
cs.CV2026
Conformal Prediction Sets for Instance Segmentation
Kerri Lu, Dan M. Kluger, Stephen Bates +1
Current instance segmentation models achieve high performance on average predictions, but lack principled uncertainty quantification: their outputs are not calibrated, and there is…
stat.ML2026
Demystifying Prediction Powered Inference
Yilin Song, Dan M. Kluger, Harsh Parikh +1
Machine learning predictions are increasingly used to supplement incomplete or costly-to-measure outcomes in fields such as biomedical research, environmental science, and social s…