collaborators

5 papers

stat.ME2026

Shape-Adaptive Conditional Calibration for Conformal Prediction via Minimax Optimization

Yajie Bao, Chuchen Zhang, Zhaojun Wang +2

Achieving valid conditional coverage in conformal prediction is challenging due to the theoretical difficulty of satisfying pointwise constraints in finite samples. Building upon t…

stat.ML2025

Optimal Model Selection for Conformalized Robust Optimization

Yajie Bao, Yang Hu, Haojie Ren +2

In decision-making under uncertainty, Contextual Robust Optimization (CRO) provides reliability by minimizing the worst-case decision loss over a prediction set. While recent advan…

stat.ML2025

CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control

Yajie Bao, Yuyang Huo, Haojie Ren +1

We study the problem of post-selection predictive inference in an online fashion. To avoid devoting resources to unimportant units, a preliminary selection of the current individua…

stat.ML2025

Error-quantified Conformal Inference for Time Series

Junxi Wu, Dongjian Hu, Yajie Bao +2

Uncertainty quantification in time series prediction is challenging due to the temporal dependence and distribution shift on sequential data. Conformal inference provides a pivotal…

stat.ML2025

Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach

Qian Peng, Yajie Bao, Haojie Ren +2

Conformal prediction is a powerful tool for constructing prediction intervals for black-box models, providing a finite sample coverage guarantee for exchangeable data. However, thi…