3 papers
cs.LG2026
Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks
Suprim Nakarmi, Junggab Son, Yue Zhao +1
Federated Graph Neural Networks (FedGNNs) facilitate collaborative learning across multiple clients with graph-structured data while preserving user privacy. However, emerging rese…
stat.ME2026
CAIRO: Decoupling Order from Scale in Regression
Harri Vanhems, Yue Zhao, Peng Shi +1
Standard regression methods typically optimize a single pointwise objective, such as mean squared error, which conflates the learning of ordering with the learning of scale. This c…
stat.ME2025
Multivariate Conformal Selection
Tian Bai, Yue Zhao, Xiang Yu +1
Selecting high-quality candidates from large datasets is critical in applications such as drug discovery, precision medicine, and alignment of large language models (LLMs). While C…