Shojaie, Ali

13 publications

JMLR 2025 An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models Tong Xu, Simge Küçükyavuz, Ali Shojaie, Armeen Taeb

AISTATS 2025 Spectral Differential Network Analysis for High-Dimensional Time Series Michael Hellstern, Byol Kim, Zaid Harchaoui, Ali Shojaie

JMLR 2023 Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks Simge Kucukyavuz, Ali Shojaie, Hasan Manzour, Linchuan Wei, Hao-Hsiang Wu

CLeaR 2023 Directed Graphical Models and Causal Discovery for Zero-Inflated Data Shiqing Yu, Mathias Drton, Ali Shojaie

LoG 2023 Interaction Models and Generalized Score Matching for Compositional Data Shiqing Yu, Mathias Drton, Ali Shojaie

JMLR 2023 On the Optimality of Nuclear-Norm-Based Matrix Completion for Problems with Smooth Non-Linear Structure Yunhua Xiang, Tianyu Zhang, Xu Wang, Ali Shojaie, Noah Simon

JMLR 2022 Generalized Sparse Additive Models Asad Haris, Noah Simon, Ali Shojaie

JMLR 2019 Generalized Score Matching for Non-Negative Data Shiqing Yu, Mathias Drton, Ali Shojaie

JMLR 2019 The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks Arjun Sondhi, Ali Shojaie

AISTATS 2018 Graphical Models for Non-Negative Data Using Generalized Score Matching Shiqing Yu, Mathias Drton, Ali Shojaie

NeurIPS 2018 Wavelet Regression and Additive Models for Irregularly Spaced Data Asad Haris, Ali Shojaie, Noah Simon

JMLR 2015 Network Granger Causality with Inherent Grouping Structure Sumanta Basu, Ali Shojaie, George Michailidis

NeurIPS 2010 Penalized Principal Component Regression on Graphs for Analysis of Subnetworks Ali Shojaie, George Michailidis