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stat.ML2026
Prediction-Powered Inference Across Many Tasks for AI Evaluation & Social Science Research
Nicolas Emmenegger, Ellery Stahler, Chara Podimata
Many applications require statistically valid inference across many related tasks, while using only a handful of high-quality labels per hypothesis. In AI evaluation, these tasks m…
stat.ML2023
Anytime Model Selection in Linear Bandits
Parnian Kassraie, Nicolas Emmenegger, Andreas Krause +1
Model selection in the context of bandit optimization is a challenging problem, as it requires balancing exploration and exploitation not only for action selection, but also for mo…