Tianxi Li

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

ORCID: 0000-0003-4595-1777

School of Statistics, University of Minnesota

Publications

• Network Estimation by Mixing: Adaptivity and More — Journal of the American Statistical Association 2024
• The Non-Overlapping Statistical Approximation to Overlapping Group Lasso — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
• Tianxi Li’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
• Community models for networks observed through edge nominations — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
• Compressed spectral screening for large-scale differential correlation analysis with application in selecting Glioblastoma gene modules — The Annals of Applied Statistics 2023
• Informative core identification in complex networks — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
• Linear regression and its inference on noisy network-linked data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
• Hierarchical Community Detection by Recursive Partitioning — Journal of the American Statistical Association 2022
• Network cross-validation by edge sampling — Biometrika 2020
• Rejoinder: ‘Network cross-validation by edge sampling’ — Biometrika 2020
• High-dimensional Gaussian graphical models on network-linked data — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
• Prediction models for network-linked data — The Annals of Applied Statistics 2019