Ali Shojaie

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

ORCID: 0000-0001-8846-3533

Department of Biostatistics, University of Washington , Seattle, WA 98105 , USA

Publications

• Inference on function-valued parameters using a restricted score test — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2026
• Statistical Inference for Networks of High-Dimensional Point Processes — Journal of the American Statistical Association 2025
• An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Integer programming for learning directed acyclic graphs from nonidentifiable Gaussian models — Biometrika 2025
• Generalized matrix decomposition regression: Estimation and inference for two-way structured data — The Annals of Applied Statistics 2023
• Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
• On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
• Joint Structural Break Detection and Parameter Estimation in High-Dimensional Nonstationary VAR Models — Journal of the American Statistical Association 2022
• Generalized Sparse Additive Models — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
• Network differential connectivity analysis — The Annals of Applied Statistics 2022
• Discussion of “A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression” — Journal of the American Statistical Association 2020
• Nonparametric regression with adaptive truncation via a convex hierarchical penalty — Biometrika 2019
• The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
• Generalized Score Matching for Non-Negative Data — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
• Identifiability and estimation of structural vector autoregressive models for subsampled and mixed-frequency time series — Biometrika 2019
• Kernel-penalized regression for analysis of microbiome data — The Annals of Applied Statistics 2018
• Network Reconstruction From High-Dimensional Ordinary Differential Equations — Journal of the American Statistical Association 2017
• Selection and estimation for mixed graphical models — Biometrika 2015
• Network Granger Causality with Inherent Grouping Structure — Journal of Machine Learning Research 2015 (name-matched, not ORCID-linked)
• Graph estimation with joint additive models — Biometrika 2014
• Penalized likelihood methods for estimation of sparse high-dimensional directed acyclic graphs — Biometrika 2010