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Yinxu Jia

2 accepted papers

2024

Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation

AAAI 2024technical

Accurately detecting multiple change-points is critical for various applications, but determining the optimal number of change-points remains a challenge. Existing approaches based on information criteria attempt to balance goodness-of-fit and model complexity, but their performance varies depending…

Cited by 2SourcePDFScholar
2024

Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference

NeurIPS 2024spotlight

The widespread use of black box prediction methods has sparked an increasing interest in algorithm/model-agnostic approaches for quantifying goodness-of-fit, with direct ties to specification testing, model selection and variable importance assessment. A commonly used framework involves defining a p…

Cited by 0SourcePDFScholar