Didong Li

13 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0001-9146-705X

University of North Carolina at Chapel Hill

Publications

• Contrastive linear regression — The Annals of Applied Statistics 2025
• Deep Generative Models: Complexity, Dimensionality, and Approximation — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Spherical Rotation Dimension Reduction with Geometric Loss Functions — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
• Probabilistic contrastive dimension reduction for case-control study data — The Annals of Applied Statistics 2024
• Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
• Efficient manifold approximation with spherelets — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
• Contrastive latent variable modeling with application to case-control sequencing experiments — The Annals of Applied Statistics 2022
• Classification via local manifold approximation — Biometrika 2020
• Estimating densities with non-linear support by using Fisher–Gaussian kernels — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2020
• The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review — Journal of the American Statistical Association
• Investigating Spatial Dynamics in Spatial Omics Data with StarTrail — Journal of the American Statistical Association (name-matched, not ORCID-linked)
• Bayesian Spatiotemporal Wombling — Journal of the American Statistical Association