Po-Ling Loh

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

ORCID: 0000-0002-6514-7834

Publications

• Robust Regression with Covariate Filtering: Heavy Tails and Adversarial Contamination — Journal of the American Statistical Association 2025
• Proposers of the vote of thanks to Crane and Xu and contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
• Differentially private inference via noisy optimization — The Annals of Statistics 2023
• Permutation Tests for Infection Graphs — Journal of the American Statistical Association 2021 (name-matched, not ORCID-linked)
• Comment on “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” — Journal of the American Statistical Association 2020
• Optimal rates for community estimation in the weighted stochastic block model — The Annals of Statistics 2020
• Support recovery without incoherence: A case for nonconvex regularization — The Annals of Statistics 2017
• Statistical consistency and asymptotic normality for high-dimensional robust $M$-estimators — The Annals of Statistics 2017
• Regularized M-estimators with Nonconvexity: Statistical and Algorithmic Theory for Local Optima — Journal of Machine Learning Research 2015 (name-matched, not ORCID-linked)
• High-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation — Journal of Machine Learning Research 2014 (name-matched, not ORCID-linked)
• Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses — The Annals of Statistics 2013 (name-matched, not ORCID-linked)
• High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity — The Annals of Statistics 2012