4 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…
Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection
Chengde Qian, Guanghui Wang, Changliang Zou
Changepoint detection typically relies on a grid-search strategy for optimal data segmentation. When model fitting itself is expensive, repeatedly fitting a model on every candidat…
Toward Exact Convergence in Byzantine-Robust Decentralized Learning: A Statistical Identification Approach
Siyuan Zhang, Chengde Qian, Xin Liu +1
To defend against Byzantine attacks in decentralized learning, most existing methods rely on robust aggregation rules to mitigate the influence of malicious machines. However, thes…
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…