Ali Shojaie

According to our database, Ali Shojaie authored at least 36 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning Directed Acyclic Graphs from Partial Orderings.

Ali Shojaie, Wenyu Chen

CoRR, 2024

2023

Causal Structural Learning via Local Graphs.

Wenyu Chen, Mathias Drton, Ali Shojaie

SIAM J. Math. Data Sci., June, 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

J. Mach. Learn. Res., 2023

Directed Graphical Models and Causal Discovery for Zero-Inflated Data.

Shiqing Yu, Mathias Drton, Ali Shojaie

Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022

Neural Granger Causality.

Alex Tank, Ian Covert, Nicholas J. Foti, Ali Shojaie, Emily B. Fox

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Generalized Sparse Additive Models.

Asad Haris, Noah Simon, Ali Shojaie

J. Mach. Learn. Res., 2022

Nonparametric Causal Structure Learning in High Dimensions.

Shubhadeep Chakraborty, Ali Shojaie

Entropy, 2022

2021

Integer Programming for Learning Directed Acyclic Graphs from Continuous Data.

Hasan Manzour, Simge Küçükyavuz, Hao-Hsiang Wu, Ali Shojaie

INFORMS J. Optim., January, 2021

The Convex Mixture Distribution: Granger Causality for Categorical Time Series.

Alex Tank, Xiudi Li, Emily B. Fox, Ali Shojaie

SIAM J. Math. Data Sci., 2021

netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis.

Michael Hellstern, Jing Ma, Kun Yue, Ali Shojaie

PLoS Comput. Biol., 2021

Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes.

Xu Wang, Ali Shojaie

Entropy, 2021

Definite Non-Ancestral Relations and Structure Learning.

Wenyu Chen, Mathias Drton, Ali Shojaie

CoRR, 2021

Granger Causality: A Review and Recent Advances.

Ali Shojaie, Emily B. Fox

CoRR, 2021

CorDiffViz: an R package for visualizing multi-omics differential correlation networks.

Shiqing Yu, Mathias Drton, Daniel E. L. Promislow, Ali Shojaie

BMC Bioinform., 2021

2020

Statistical Inference for Networks of High-Dimensional Point Processes.

Xu Wang, Mladen Kolar, Ali Shojaie

CoRR, 2020

Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks.

Simge Küçükyavuz, Ali Shojaie, Hasan Manzour, Linchuan Wei

CoRR, 2020

Differential Network Analysis: A Statistical Perspective.

Ali Shojaie

CoRR, 2020

Statistical Significance in High-dimensional Linear Mixed Models.

Lina Lin, Mathias Drton, Ali Shojaie

Proceedings of the FODS '20: ACM-IMS Foundations of Data Science Conference, 2020

2019

Generalized Score Matching for Non-Negative Data.

Shiqing Yu, Mathias Drton, Ali Shojaie

J. Mach. Learn. Res., 2019

The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks.

Arjun Sondhi, Ali Shojaie

J. Mach. Learn. Res., 2019

Bayesian hidden Markov models for dependent large-scale multiple testing.

Xia Wang, Ali Shojaie, Jian Zou

Comput. Stat. Data Anal., 2019

Integer Programming for Learning Directed Acyclic Graphs from Continuous Data.

Hasan Manzour, Simge Küçükyavuz, Ali Shojaie

CoRR, 2019

A comparative study of topology-based pathway enrichment analysis methods.

Jing Ma, Ali Shojaie, George Michailidis

BMC Bioinform., 2019

2018

Combining Supervised and Unsupervised Learning for Improved miRNA Target Prediction.

Nafiseh Sedaghat, Mahmood Fathy, Mohammad Hossein Modarressi, Ali Shojaie

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Gene set analysis methods: a systematic comparison.

Ravi Mathur, Daniel M. Rotroff, Jun Ma, Ali Shojaie, Alison A. Motsinger-Reif

BioData Min., 2018

Wavelet regression and additive models for irregularly spaced data.

Asad Haris, Ali Shojaie, Noah Simon

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Graphical Models for Non-Negative Data Using Generalized Score Matching.

Shiqing Yu, Mathias Drton, Ali Shojaie

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016

Network-based pathway enrichment analysis with incomplete network information.

Jing Ma, Ali Shojaie, George Michailidis

Bioinform., 2016

Causal Structure Learning with Reduced Partial Correlation Thresholding.

Arjun Sondhi, Ali Shojaie

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015

Network granger causality with inherent grouping structure.

Sumanta Basu, Ali Shojaie, George Michailidis

J. Mach. Learn. Res., 2015

The cluster graphical lasso for improved estimation of Gaussian graphical models.

Kean Ming Tan, Daniela M. Witten, Ali Shojaie

Comput. Stat. Data Anal., 2015

2014

The Cluster Elastic Net for High-Dimensional Regression With Unknown Variable Grouping.

Daniela M. Witten, Ali Shojaie, Fan Zhang

Technometrics, 2014

2013

Using random walks to identify cancer-associated modules in expression data.

Deanna Petrochilos, Ali Shojaie, John H. Gennari, Neil F. Abernethy

BioData Min., 2013

2010

Discovering graphical Granger causality using the truncating lasso penalty.

Ali Shojaie, George Michailidis

Bioinform., 2010

Penalized Principal Component Regression on Graphs for Analysis of Subnetworks.

Ali Shojaie, George Michailidis

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Analysis of Gene Sets Based on the Underlying Regulatory Network.

Ali Shojaie, George Michailidis

J. Comput. Biol., 2009