5 papers
Changepoint Detection in Complex Models: Cross-Fitting Is Needed
Chengde Qian, Guanghui Wang, Zhaojun Wang +1
Changepoint detection is commonly formulated by minimizing the sum of in-sample losses to quantify the model's overall fit. However, for flexible modeling procedures -- especially…
Robust Multi-Source Domain Adaptation under Label Shift
Congbin Xu, Chengde Qian, Zhaojun Wang +1
As the volume of data continues to expand, it becomes increasingly common for data to be aggregated from multiple sources. Leveraging multiple sources for model training typically…
ART: Distribution-Free and Model-Agnostic Changepoint Detection with Finite-Sample Guarantees
Xiaolong Cui, Haoyu Geng, Guanghui Wang +2
We introduce ART, a distribution-free and model-agnostic framework for changepoint detection that provides finite-sample guarantees. ART transforms independent observations into re…
Conditional Testing based on Localized Conformal p-values
Xiaoyang Wu, Lin Lu, Zhaojun Wang +1
In this paper, we address conditional testing problems through the conformal inference framework. We define the localized conformal p-values by inverting prediction intervals and p…
TUNE: Algorithm-Agnostic Inference after Changepoint Detection
Yinxu Jia, Jixuan Liu, Guanghui Wang +2
In multiple changepoint analysis, assessing the uncertainty of detected changepoints is crucial for enhancing detection reliability -- a topic that has garnered significant attenti…