Author

Minxing Zheng

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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 Preprint Aug 2026

Deciding When to Decide: Testing Operational Suboptimality Under Distributional Shift

This work proposes \texttt{RADAR} (Regret-based Assessment of Decision Adequacy and Risk), a decision-focused framework that uses inverse optimization to infer latent preferences and tests the deployed decision's optimality gap under the current distribution.

Minxing Zheng, H. Wiberg, Shixiang Zhu · 0 citations