7 citations · 8 across the 7 of their papers we have counts for
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stat.ML2025
Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity
Victor Li, Baiting Chen, Yuzhen Mao +2
Calibrating blackbox machine learning models to achieve risk control is crucial to ensure reliable decision-making. A rich line of literature has been studying how to calibrate a m…
stat.ML2025
Statistical Inference under Performativity
Xiang Li, Yunai Li, Huiying Zhong +2
Performativity of predictions refers to the phenomenon where prediction-informed decisions influence the very targets they aim to predict -- a dynamic commonly observed in policy-m…
cs.LG2025★ 1 cited
Conformal Tail Risk Control for Large Language Model Alignment
Catherine Yu-Chi Chen, Jingyan Shen, Zhun Deng +1
Recent developments in large language models (LLMs) have led to their widespread usage for various tasks. The prevalence of LLMs in society implores the assurance on the reliabilit…