Abstract
In this paper we study the validity and efficiency of a conformal version of the CUSUM procedure for change detection both experimentally and theoretically. Unlike the standard CUSUM procedure, its conformal version tests repeatedly a massive null hypothesis, that of the data being IID. We establish a novel property of validity for the conformal CUSUM procedure and for the first time establish a property of efficiency.
| Original language | English |
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| Title of host publication | Proceedings of Machine Learning Research (COPA 2025) |
| Editors | Khuong An Nguyen, Zhiyuan Luo, Harris Papadopoulos, Tuwe Lofstrom, Lars Carlsson, Hentrik Bostrom |
| Pages | 576-594 |
| Volume | 266 |
| Publication status | Published - 15 Aug 2025 |