1 citations · 1 across the 9 of their papers we have counts for
10 papers
Safe Meta-Policy Design with Risk Control
Wenbin Zhou, Michael Lingzhi Li, Shixiang Zhu
Models can be retrained as new data arrive, but deploying every new version risks replacing a good policy with a worse one. We study how to plan policy updates (i.e., meta-policy)…
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…
Balancing Optimality and Diversity: Human-Centered Decision Making through Generative Curation
Michael Lingzhi Li, Shixiang Zhu
Many decision-support systems recommend actions by optimizing measurable objectives, even when a human decision-maker retains final authority and considers additional criteria that…
New User Event Prediction Through the Lens of Causal Inference
Henry Shaowu Yuchi, Shixiang Zhu, Li Dong +2
Modeling and analysis for event series generated by users of heterogeneous behavioral patterns are closely involved in our daily lives, including credit card fraud detection, onlin…