Yuqi Gu
14 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0002-4124-113X
Columbia University
Publications
- A blockwise mixed membership model for multivariate longitudinal data: Discovering clinical heterogeneity and identifying Parkinson’s disease subtypes — The Annals of Applied Statistics 2026
- Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers — Journal of the American Statistical Association 2026
- Degree-Heterogeneous Latent Class Analysis for High-Dimensional Discrete Data — Journal of the American Statistical Association 2025
- Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
- Latent conjunctive Bayesian network: Unify attribute hierarchy and Bayesian network for cognitive diagnosis — The Annals of Applied Statistics 2024
- A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis — Journal of the American Statistical Association 2023
- Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
- Bayesian Pyramids: identifiable multilayer discrete latent structure models for discrete data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
- Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
- Partial identifiability of restricted latent class models — The Annals of Statistics 2020
- Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
- Creditor Influence and CEO Compensation: Evidence from Debt Covenant Violations — The Accounting Review 2018 (name-matched, not ORCID-linked)
- Generalized Grade-of-Membership Estimation for High-dimensional Locally Dependent Data — Journal of the American Statistical Association
- Adaptive Transfer Clustering: A Unified Framework — Journal of the American Statistical Association