Ali Shojaie

47 papers A* 1A 2B 1Journal 39Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Principal Component Analysis Balancing Prediction and Approximation Accuracy for Spatial Data.
J. Comput. Graph. Stat.
Si Cheng, Magali N. Blanco, Timothy V. Larson, Lianne Sheppard, Adam Szpiro, Ali Shojaie
2025 J jnl
An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models.
J. Mach. Learn. Res.
Tong Xu, Simge Küçükyavuz, Ali Shojaie, Armeen Taeb
2025 J jnl
Prioritization of causal genes from genome-wide association studies by Bayesian data integration across loci.
PLoS Comput. Biol.
Zeinab Mousavi, Marios Arvanitis, Thuyvy Duong, Jennifer A. Brody, Alexis Battle, Nona Sotoodehnia, Ali Shojaie, Dan E. Arking, Joel S. Bader
2025 A conf
Spectral Differential Network Analysis for High-Dimensional Time Series.
AISTATS
Michael Hellstern, Byol Kim, Zaïd Harchaoui, Ali Shojaie
2024 J jnl
An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models.
CoRR
Tong Xu, Armeen Taeb, Simge Küçükyavuz, Ali Shojaie
2024 J jnl
Learning Directed Acyclic Graphs from Partial Orderings.
CoRR
Ali Shojaie, Wenyu Chen
2023 J jnl
Causal Structural Learning via Local Graphs.
SIAM J. Math. Data Sci.
Wenyu Chen, Mathias Drton, Ali Shojaie
2023 J jnl
Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks.
J. Mach. Learn. Res.
Simge Küçükyavuz, Ali Shojaie, Hasan Manzour, Linchuan Wei, Hao-Hsiang Wu
2023 — conf
Directed Graphical Models and Causal Discovery for Zero-Inflated Data.
CLeaR
Shiqing Yu, Mathias Drton, Ali Shojaie
2023 — conf
Interaction Models and Generalized Score Matching for Compositional Data.
LoG
Shiqing Yu, Mathias Drton, Ali Shojaie
2023 J jnl
On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure.
J. Mach. Learn. Res.
Yunhua Xiang, Tianyu Zhang, Xu Wang, Ali Shojaie, Noah Simon
2022 J jnl
Generalized Sparse Additive Models.
J. Mach. Learn. Res.
Asad Haris, Noah Simon, Ali Shojaie
2022 J jnl
Neural Granger Causality.
IEEE Trans. Pattern Anal. Mach. Intell.
Alex Tank, Ian Covert, Nicholas J. Foti, Ali Shojaie, Emily B. Fox
2022 J jnl
Nonparametric Causal Structure Learning in High Dimensions.
Entropy
Shubhadeep Chakraborty, Ali Shojaie
2021 J jnl
Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes.
CoRR
Xu Wang, Ali Shojaie
2021 J jnl
Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes.
Entropy
Xu Wang, Ali Shojaie
2021 J jnl
CorDiffViz: an R package for visualizing multi-omics differential correlation networks.
BMC Bioinform.
Shiqing Yu, Mathias Drton, Daniel E. L. Promislow, Ali Shojaie
2021 J jnl
Definite Non-Ancestral Relations and Structure Learning.
CoRR
Wenyu Chen, Mathias Drton, Ali Shojaie
2021 J jnl
Granger Causality: A Review and Recent Advances.
CoRR
Ali Shojaie, Emily B. Fox
2021 J jnl
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data.
INFORMS J. Optim.
Hasan Manzour, Simge Küçükyavuz, Hao-Hsiang Wu, Ali Shojaie
2021 J jnl
The Convex Mixture Distribution: Granger Causality for Categorical Time Series.
SIAM J. Math. Data Sci.
Alex Tank, Xiudi Li, Emily B. Fox, Ali Shojaie
2021 J jnl
netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis.
PLoS Comput. Biol.
Michael Hellstern, Jing Ma, Kun Yue, Ali Shojaie
2020 J jnl
Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks.
CoRR
Simge Küçükyavuz, Ali Shojaie, Hasan Manzour, Linchuan Wei
2020 J jnl
Differential Network Analysis: A Statistical Perspective.
CoRR
Ali Shojaie
2020 J jnl
Statistical Inference for Networks of High-Dimensional Point Processes.
CoRR
Xu Wang, Mladen Kolar, Ali Shojaie
2020 — conf
Statistical Significance in High-dimensional Linear Mixed Models.
FODS
Lina Lin, Mathias Drton, Ali Shojaie
2019 J jnl
A comparative study of topology-based pathway enrichment analysis methods.
BMC Bioinform.
Jing Ma, Ali Shojaie, George Michailidis
2019 J jnl
Bayesian hidden Markov models for dependent large-scale multiple testing.
Comput. Stat. Data Anal.
Xia Wang, Ali Shojaie, Jian Zou
2019 J jnl
Generalized Score Matching for Non-Negative Data.
J. Mach. Learn. Res.
Shiqing Yu, Mathias Drton, Ali Shojaie
2019 J jnl
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data.
CoRR
Hasan Manzour, Simge Küçükyavuz, Ali Shojaie
2019 J jnl
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks.
J. Mach. Learn. Res.
Arjun Sondhi, Ali Shojaie
2019 J jnl
Wavelet regression and additive models for irregularly spaced data.
CoRR
Asad Haris, Noah Simon, Ali Shojaie
2018 J jnl
Combining Supervised and Unsupervised Learning for Improved miRNA Target Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Nafiseh Sedaghat, Mahmood Fathy, Mohammad Hossein Modarressi, Ali Shojaie
2018 J jnl
Gene set analysis methods: a systematic comparison.
BioData Min.
Ravi Mathur, Daniel M. Rotroff, Jun Ma, Ali Shojaie, Alison A. Motsinger-Reif
2018 J jnl
Generalized Score Matching for Non-Negative Data.
CoRR
Shiqing Yu, Mathias Drton, Ali Shojaie
2018 A conf
Graphical Models for Non-Negative Data Using Generalized Score Matching.
AISTATS
Shiqing Yu, Mathias Drton, Ali Shojaie
2018 J jnl
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks.
CoRR
Arjun Sondhi, Ali Shojaie
2018 A* conf
Wavelet regression and additive models for irregularly spaced data.
NeurIPS
Asad Haris, Ali Shojaie, Noah Simon
2016 B conf
Causal Structure Learning with Reduced Partial Correlation Thresholding.
DSAA
Arjun Sondhi, Ali Shojaie
2016 J jnl
Network-based pathway enrichment analysis with incomplete network information.
Bioinform.
Jing Ma, Ali Shojaie, George Michailidis
2015 J jnl
Network granger causality with inherent grouping structure.
J. Mach. Learn. Res.
Sumanta Basu, Ali Shojaie, George Michailidis
2015 J jnl
The cluster graphical lasso for improved estimation of Gaussian graphical models.
Comput. Stat. Data Anal.
Kean Ming Tan, Daniela M. Witten, Ali Shojaie
2014 J jnl
The Cluster Elastic Net for High-Dimensional Regression With Unknown Variable Grouping.
Technometrics
Daniela M. Witten, Ali Shojaie, Fan Zhang
2013 J jnl
Using random walks to identify cancer-associated modules in expression data.
BioData Min.
Deanna Petrochilos, Ali Shojaie, John H. Gennari, Neil F. Abernethy
2010 J jnl
Discovering graphical Granger causality using the truncating lasso penalty.
Bioinform.
Ali Shojaie, George Michailidis
2010 — conf
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks.
NIPS
Ali Shojaie, George Michailidis
2009 J jnl
Analysis of Gene Sets Based on the Underlying Regulatory Network.
J. Comput. Biol.
Ali Shojaie, George Michailidis