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Suya Wu

2 accepted papers

2023

Robust Quickest Change Detection for Unnormalized Models

UAI 2023poster

Detecting an abrupt and persistent change in the underlying distribution of online data streams is an important problem in many applications. This paper proposes a new robust score-based algorithm called RSCUSUM, which can be applied to unnormalized models and addresses the issue of unknown post-cha…

Cited by 4SourcePDFScholar
2023

Score-based Quickest Change Detection for Unnormalized Models

AISTATS 2023poster

Classical change detection algorithms typically require modeling pre-change and post-change distributions. The calculations may not be feasible for various machine learning models because of the complexity of computing the partition functions and normalized distributions. Additionally, these methods…

Cited by 12SourcePDFScholar