3 papers
stat.ME2026
Robust Matrix Estimation with Side Information
Anish Agarwal, Jungjun Choi, Ming Yuan
We introduce a flexible framework for high-dimensional matrix estimation to incorporate side information for both rows and columns. Existing approaches, such as inductive matrix co…
cs.LG2026
Knowledge-Embedded Latent Projection for Robust Representation Learning
Weijing Tang, Ming Yuan, Zongqi Xia +1
Latent space models are widely used for analyzing high-dimensional discrete data matrices, such as patient-feature matrices in electronic health records (EHRs), by capturing comple…
econ.EM2025
Inferential Theory for Pricing Errors with Latent Factors and Firm Characteristics
Jungjun Choi, Ming Yuan
We study factor models that combine latent factors with firm characteristics and propose a new framework for modeling, estimating, and inferring pricing errors. Following Zhang (20…