2 papers
stat.AP2026
Matching Urban Flood Sensor Placement to Monitoring Objectives Using Bayesian Optimal Experimental Design
Chen Cheng, Vinh Ngoc Tran, Jiayuan Dong +5
Flood-monitoring sensors are often placed according to coverage, access, or expected inundation. However, the value of a measurement depends on the prediction or decision it is int…
cs.LG2025
Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning
Zheyu Zhang, Jiayuan Dong, Jie Liu +1
We present GO-CBED, a goal-oriented Bayesian framework for sequential causal experimental design. Unlike conventional approaches that select interventions aimed at inferring the fu…