9 papers
Beyond Prediction: Conformal Inference for Latent Distributional Parameters
Minxing Zheng, Wenbin Zhou, Shixiang Zhu
Many prediction problems seek to infer an unobserved, instance-specific parameter that governs the distribution of an observable response, even though the latent parameter is unava…
Learning Polyhedral Conformal Sets for Robust Optimization
Shuyi Chen, Wenbin Zhou, Shixiang Zhu
Robust optimization (RO) provides a principled framework for decision-making under uncertainty, but its performance critically depends on the choice of the uncertainty set. While l…
Score-Based Change-Point Detection and Region Localization for Spatio-Temporal Point Processes
Wenbin Zhou, Liyan Xie, Shixiang Zhu
We study sequential change-point detection for spatio-temporal point processes, where actionable detection requires not only identifying when a distributional change occurs but als…
Impact of power outages on the adoption of residential solar photovoltaic in a changing climate
Jiashu Zhu, Wenbin Zhou, Laura Diaz Anadon +1
Residential solar photovoltaic (PV) systems are a cornerstone of residential decarbonization and energy resilience. However, most existing systems are PV-only and cannot provide ba…
Calibrating Decision Robustness via Inverse Conformal Risk Control
Wenbin Zhou, Shixiang Zhu
Robust optimization safeguards decisions against uncertainty by optimizing against worst-case scenarios, yet their effectiveness hinges on a prespecified robustness level that is o…
Conformalized Decision Risk Assessment
Wenbin Zhou, Agni Orfanoudaki, Shixiang Zhu
In many operational settings, decision-makers must commit to actions before uncertainty resolves, but existing optimization tools rarely quantify how consistently a chosen decision…
Sequential Change Point Detection via Denoising Score Matching
Wenbin Zhou, Liyan Xie, Zhigang Peng +1
Sequential change-point detection plays a critical role in numerous real-world applications, where timely identification of distributional shifts can greatly mitigate adverse outco…
Hierarchical Probabilistic Conformal Prediction for Distributed Energy Resources Adoption
Wenbin Zhou, Shixiang Zhu
The rapid growth of distributed energy resources (DERs) presents both opportunities and operational challenges for electric grid management. Accurately predicting DER adoption is c…
Recurrent Neural Goodness-of-Fit Test for Time Series
Aoran Zhang, Wenbin Zhou, Liyan Xie +1
Time series data are crucial across diverse domains such as finance and healthcare, where accurate forecasting and decision-making rely on advanced modeling techniques. While gener…