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Ali Shojaie
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2020 – today
- 2024
- [i12]Ali Shojaie, Wenyu Chen:
Learning Directed Acyclic Graphs from Partial Orderings. CoRR abs/2403.16031 (2024) - [i11]Tong Xu, Armeen Taeb, Simge Küçükyavuz, Ali Shojaie:
An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models. CoRR abs/2408.11977 (2024) - 2023
- [j24]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: 228:1-228:38 (2023) - [j23]Simge Küçükyavuz, Ali Shojaie, Hasan Manzour, Linchuan Wei, Hao-Hsiang Wu:
Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks. J. Mach. Learn. Res. 24: 322:1-322:38 (2023) - [j22]Wenyu Chen, Mathias Drton, Ali Shojaie:
Causal Structural Learning via Local Graphs. SIAM J. Math. Data Sci. 5(2): 280-305 (2023) - [c7]Shiqing Yu, Mathias Drton, Ali Shojaie:
Directed Graphical Models and Causal Discovery for Zero-Inflated Data. CLeaR 2023: 27-67 - [c6]Shiqing Yu, Mathias Drton, Ali Shojaie:
Interaction Models and Generalized Score Matching for Compositional Data. LoG 2023: 20 - 2022
- [j21]Shubhadeep Chakraborty, Ali Shojaie:
Nonparametric Causal Structure Learning in High Dimensions. Entropy 24(3): 351 (2022) - [j20]Asad Haris, Noah Simon, Ali Shojaie:
Generalized Sparse Additive Models. J. Mach. Learn. Res. 23: 70:1-70:56 (2022) - [j19]Alex Tank
, Ian Covert
Neural Granger Causality. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4267-4279 (2022) - 2021
- [j18]Shiqing Yu
CorDiffViz: an R package for visualizing multi-omics differential correlation networks. BMC Bioinform. 22(1): 486 (2021) - [j17]Xu Wang, Ali Shojaie:
Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes. Entropy 23(12): 1622 (2021) - [j16]Hasan Manzour
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data. INFORMS J. Optim. 3(1): 46-73 (2021) - [j15]Michael Hellstern, Jing Ma
netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis. PLoS Comput. Biol. 17(6) (2021) - [j14]Alex Tank
The Convex Mixture Distribution: Granger Causality for Categorical Time Series. SIAM J. Math. Data Sci. 3(1): 83-112 (2021) - [i10]Ali Shojaie, Emily B. Fox:
Granger Causality: A Review and Recent Advances. CoRR abs/2105.02675 (2021) - [i9]Wenyu Chen, Mathias Drton, Ali Shojaie:
Definite Non-Ancestral Relations and Structure Learning. CoRR abs/2105.10350 (2021) - [i8]Xu Wang, Ali Shojaie:
Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes. CoRR abs/2109.10947 (2021) - 2020
- [c5]Lina Lin, Mathias Drton, Ali Shojaie:
Statistical Significance in High-dimensional Linear Mixed Models. FODS 2020: 171-181 - [i7]Ali Shojaie:
Differential Network Analysis: A Statistical Perspective. CoRR abs/2003.04235 (2020) - [i6]Simge Küçükyavuz, Ali Shojaie, Hasan Manzour, Linchuan Wei:
Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks. CoRR abs/2005.14346 (2020) - [i5]Xu Wang, Mladen Kolar, Ali Shojaie:
Statistical Inference for Networks of High-Dimensional Point Processes. CoRR abs/2007.07448 (2020)
2010 – 2019
- 2019
- [j13]Jing Ma
A comparative study of topology-based pathway enrichment analysis methods. BMC Bioinform. 20(1): 546:1-546:14 (2019) - [j12]Xia Wang
Bayesian hidden Markov models for dependent large-scale multiple testing. Comput. Stat. Data Anal. 136: 123-136 (2019) - [j11]Shiqing Yu, Mathias Drton, Ali Shojaie:
Generalized Score Matching for Non-Negative Data. J. Mach. Learn. Res. 20: 76:1-76:70 (2019) - [j10]Arjun Sondhi, Ali Shojaie:
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks. J. Mach. Learn. Res. 20: 164:1-164:31 (2019) - [i4]Asad Haris, Noah Simon, Ali Shojaie:
Wavelet regression and additive models for irregularly spaced data. CoRR abs/1903.04631 (2019) - [i3]Hasan Manzour, Simge Küçükyavuz, Ali Shojaie:
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data. CoRR abs/1904.10574 (2019) - 2018
- [j9]Ravi Mathur
Gene set analysis methods: a systematic comparison. BioData Min. 11(1): 8:1-8:19 (2018) - [j8]Nafiseh Sedaghat
Combining Supervised and Unsupervised Learning for Improved miRNA Target Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1594-1604 (2018) - [c4]Shiqing Yu, Mathias Drton, Ali Shojaie:
Graphical Models for Non-Negative Data Using Generalized Score Matching. AISTATS 2018: 1781-1790 - [c3]Asad Haris, Ali Shojaie, Noah Simon:
Wavelet regression and additive models for irregularly spaced data. NeurIPS 2018: 8987-8997 - [i2]Arjun Sondhi, Ali Shojaie:
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks. CoRR abs/1806.06209 (2018) - [i1]Shiqing Yu, Mathias Drton, Ali Shojaie:
Generalized Score Matching for Non-Negative Data. CoRR abs/1812.10551 (2018) - 2016
- [j7]Jing Ma
Network-based pathway enrichment analysis with incomplete network information. Bioinform. 32(20): 3165-3174 (2016) - [c2]Arjun Sondhi, Ali Shojaie:
Causal Structure Learning with Reduced Partial Correlation Thresholding. DSAA 2016: 790-797 - 2015
- [j6]Kean Ming Tan, Daniela M. Witten, Ali Shojaie:
The cluster graphical lasso for improved estimation of Gaussian graphical models. Comput. Stat. Data Anal. 85: 23-36 (2015) - [j5]Sumanta Basu, Ali Shojaie, George Michailidis:
Network granger causality with inherent grouping structure. J. Mach. Learn. Res. 16: 417-453 (2015) - 2014
- [j4]Daniela M. Witten, Ali Shojaie, Fan Zhang:
The Cluster Elastic Net for High-Dimensional Regression With Unknown Variable Grouping. Technometrics 56(1): 112-122 (2014) - 2013
- [j3]Deanna Petrochilos, Ali Shojaie, John H. Gennari
Using random walks to identify cancer-associated modules in expression data. BioData Min. 6: 17 (2013) - 2010
- [j2]Ali Shojaie, George Michailidis:
Discovering graphical Granger causality using the truncating lasso penalty. Bioinform. 26(18) (2010) - [c1]Ali Shojaie, George Michailidis:
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks. NIPS 2010: 2155-2163
2000 – 2009
- 2009
- [j1]Ali Shojaie, George Michailidis:
Analysis of Gene Sets Based on the Underlying Regulatory Network. J. Comput. Biol. 16(3): 407-426 (2009)
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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