2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ML2026
Multi-environment Invariance Learning with Missing Data
Yiran Jia, Jelena Bradic
Learning models that can handle distribution shifts is a key challenge in domain generalization. Invariance learning, an approach that focuses on identifying features invariant acr…
cs.LG2025
A Connection Between Score Matching and Local Intrinsic Dimension
Eric Yeats, Aaron Jacobson, Darryl Hannan +4
The local intrinsic dimension (LID) of data is a fundamental quantity in signal processing and learning theory, but quantifying the LID of high-dimensional, complex data has been a…
cs.CR2024★ 2 cited
A CRT Framework for Montgomery-Type Modular Reduction
Guangwu Xu, Yiran Jia, Yanze Yang
Montgomery reduction is one of the fundamental techniques for efficient modular arithmetic. In this paper, we present a new interpretation of Montgomery-type reduction algorithms t…