Ali Shojaie

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 36

Top Topics

Graphical Models

Causal Structure

Granger Causality

Point Processes

Top Venues

J. Mach. Learn. Res.

SIAM J. Math. Data Sci.

Publications

Ali Shojaie, Wenyu Chen
Learning Directed Acyclic Graphs from Partial Orderings. CoRR (2024)
Shiqing Yu, Mathias Drton, Ali Shojaie
Directed Graphical Models and Causal Discovery for Zero-Inflated Data. CLeaR (2023)
Wenyu Chen, Mathias Drton, Ali Shojaie
Causal Structural Learning via Local Graphs. SIAM J. Math. Data Sci. 5 (2) (2023)
Yunhua Xiang, Tianyu Zhang, Xu Wang, Ali Shojaie, Noah Simon
On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure. J. Mach. Learn. Res. 24 (2023)
Shiqing Yu, Mathias Drton, Ali Shojaie
Interaction Models and Generalized Score Matching for Compositional Data. LoG (2023)
Asad Haris, Noah Simon, Ali Shojaie
Generalized Sparse Additive Models. J. Mach. Learn. Res. 23 (2022)
Alex Tank, Ian Covert, Nicholas J. Foti, Ali Shojaie, Emily B. Fox
Neural Granger Causality. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Shubhadeep Chakraborty, Ali Shojaie
Nonparametric Causal Structure Learning in High Dimensions. Entropy 24 (3) (2022)
Hasan Manzour, Simge Küçükyavuz, Hao-Hsiang Wu, Ali Shojaie
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data. INFORMS J. Optim. 3 (1) (2021)
Alex Tank, Xiudi Li, Emily B. Fox, Ali Shojaie
The Convex Mixture Distribution: Granger Causality for Categorical Time Series. SIAM J. Math. Data Sci. 3 (1) (2021)
Xu Wang, Ali Shojaie
Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes. CoRR (2021)
Wenyu Chen, Mathias Drton, Ali Shojaie
Definite Non-Ancestral Relations and Structure Learning. CoRR (2021)
Michael Hellstern, Jing Ma, Kun Yue, Ali Shojaie
netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis. PLoS Comput. Biol. 17 (6) (2021)
Ali Shojaie, Emily B. Fox
Granger Causality: A Review and Recent Advances. CoRR (2021)
Xu Wang, Ali Shojaie
Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes. Entropy 23 (12) (2021)
Shiqing Yu, Mathias Drton, Daniel E. L. Promislow, Ali Shojaie
CorDiffViz: an R package for visualizing multi-omics differential correlation networks. BMC Bioinform. 22 (1) (2021)
Lina Lin, Mathias Drton, Ali Shojaie
Statistical Significance in High-dimensional Linear Mixed Models. FODS (2020)
Simge Küçükyavuz, Ali Shojaie, Hasan Manzour, Linchuan Wei
Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks. CoRR (2020)
Ali Shojaie
Differential Network Analysis: A Statistical Perspective. CoRR (2020)
Xu Wang, Mladen Kolar, Ali Shojaie
Statistical Inference for Networks of High-Dimensional Point Processes. CoRR (2020)
Shiqing Yu, Mathias Drton, Ali Shojaie
Generalized Score Matching for Non-Negative Data. J. Mach. Learn. Res. 20 (2019)
Asad Haris, Noah Simon, Ali Shojaie
Wavelet regression and additive models for irregularly spaced data. CoRR (2019)
Hasan Manzour, Simge Küçükyavuz, Ali Shojaie
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data. CoRR (2019)
Jing Ma, Ali Shojaie, George Michailidis
A comparative study of topology-based pathway enrichment analysis methods. BMC Bioinform. 20 (1) (2019)
Xia Wang, Ali Shojaie, Jian Zou
Bayesian hidden Markov models for dependent large-scale multiple testing. Comput. Stat. Data Anal. 136 (2019)
Arjun Sondhi, Ali Shojaie
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks. J. Mach. Learn. Res. 20 (2019)
Nafiseh Sedaghat, Mahmood Fathy, Mohammad Hossein Modarressi, Ali Shojaie
Combining Supervised and Unsupervised Learning for Improved miRNA Target Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (5) (2018)
Arjun Sondhi, Ali Shojaie
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks. CoRR (2018)
Ravi Mathur, Daniel M. Rotroff, Jun Ma, Ali Shojaie, Alison A. Motsinger-Reif
Gene set analysis methods: a systematic comparison. BioData Min. 11 (1) (2018)
Asad Haris, Ali Shojaie, Noah Simon
Wavelet regression and additive models for irregularly spaced data. NeurIPS (2018)
Shiqing Yu, Mathias Drton, Ali Shojaie
Generalized Score Matching for Non-Negative Data. CoRR (2018)
Shiqing Yu, Mathias Drton, Ali Shojaie
Graphical Models for Non-Negative Data Using Generalized Score Matching. AISTATS (2018)
Jing Ma, Ali Shojaie, George Michailidis
Network-based pathway enrichment analysis with incomplete network information. Bioinform. 32 (20) (2016)
Arjun Sondhi, Ali Shojaie
Causal Structure Learning with Reduced Partial Correlation Thresholding. DSAA (2016)
Sumanta Basu, Ali Shojaie, George Michailidis
Network granger causality with inherent grouping structure. J. Mach. Learn. Res. 16 (2015)
Kean Ming Tan, Daniela M. Witten, Ali Shojaie
The cluster graphical lasso for improved estimation of Gaussian graphical models. Comput. Stat. Data Anal. 85 (2015)
Daniela M. Witten, Ali Shojaie, Fan Zhang
The Cluster Elastic Net for High-Dimensional Regression With Unknown Variable Grouping. Technometrics 56 (1) (2014)
Deanna Petrochilos, Ali Shojaie, John H. Gennari, Neil F. Abernethy
Using random walks to identify cancer-associated modules in expression data. BioData Min. 6 (2013)
Ali Shojaie, George Michailidis
Discovering graphical Granger causality using the truncating lasso penalty. Bioinform. 26 (18) (2010)
Ali Shojaie, George Michailidis
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks. NIPS (2010)
Ali Shojaie, George Michailidis
Analysis of Gene Sets Based on the Underlying Regulatory Network. J. Comput. Biol. 16 (3) (2009)