1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
High Dimensional Factor Analysis with Weak Factors
Jungjun Choi, Ming Yuan
This paper studies the principal components (PC) estimator for high dimensional approximate factor models with weak factors in that the factor loading () scales sub…