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stat.ML2026
Occupancy-based Quantile Risk Control
Zihao Shi, Huajun Xi, Bingyi Jing +1
Conformal risk control is an emerging framework for the safe deployment of machine learning models with finite-sample guarantees. To accommodate a broader class of risk notions, qu…
stat.ML2026
Robust Conformalized Selection with Noisy Responses
Chengyao Yu, Hongxin Wei, Bingyi Jing
Conformalized selection has been widely applied to select high-quality candidates from large datasets with rigorous uncertainty quantification, such as reliable labeling, drug disc…
stat.ML2025
A note on conditional PAC-efficient reasoning in large language model routing
Hao Zeng, Bingyi Jing
We study distribution-free risk control for model routing, motivated by large language model reasoning. We formalize pointwise conditional efficiency under a probably approximately…