Author

Wenbin Zhou

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Preprint Aug 2026

Beyond Prediction: Conformal Inference for Latent Distributional Parameters

LatentCP is developed, a prior-free conformal framework that constructs uncertainty sets for latent distributional parameters using only observed context--response pairs and a specified forward model, and maintains nominal latent coverage under weak forward identification, observational nonidentifiability, and latent h...

Minxing Zheng, Wenbin Zhou, Shixiang Zhu · 1 citation

#machine learning May 2026

Learning Polyhedral Conformal Sets for Robust Optimization

A decision-aware conformal framework that learns uncertainty sets tailored to robust optimization objectives by directly minimizing the induced robust loss, while preserving statistical validity through conformal calibration is proposed.

Shuyi Chen, Wenbin Zhou, Shi-Xiang Zhu · arXiv.org · 1 citation