5 papers
Metric Conformal Prediction via the Conditional Expected Local Radius
Rui Qiu, Fang Yao, Zhou Yu
We introduce the conditional expected local radius (CELR) and develop a new conformal prediction method for non-Euclidean responses in general metric spaces. CELR measures local co…
Lesion-Aware Attention for Mammography Segmentation with Heterogeneous Supervision
Di Dai, Bo Liu, Liwei Wang
Accurate lesion segmentation in mammography is important for computer-aided breast cancer diagnosis, but dense pixel-level annotations remain costly and limited. Existing public se…
Marginal Coordinate Test for Fréchet Regression with Random Objects
Jiaye Chen, Rui Qiu, Roulin Wang +1
We develop a marginal coordinate test for regression with Euclidean predictors and a random-object response in a separable metric space. The goal is to test whether a predictor pro…
Semi-supervised Fréchet Regression
Rui Qiu, Zhou Yu, Zhenhua Lin
This paper explores the field of semi-supervised Fréchet regression, driven by the significant costs associated with obtaining non-Euclidean labels. Methodologically, we propose tw…
Sparse Fréchet Sufficient Dimension Reduction with Graphical Structure Among Predictors
Jiaying Weng, Kai Tan, Cheng Wang +1
Fréchet regression has received considerable attention to model metric-space valued responses that are complex and non-Euclidean data, such as probability distributions and vectors…