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Joint Estimation and Inference for Multi-Experiment Networks of High-Dimensional Point Processes


Sep 23, 2021
Xu Wang, Ali Shojaie

* 49 pages, 9 figures 

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


Sep 22, 2021
Xu Wang, Ali Shojaie

* 31 pages, 5 figures 

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Interaction Models and Generalized Score Matching for Compositional Data


Sep 10, 2021
Shiqing Yu, Mathias Drton, Ali Shojaie

* 41 pages, 19 figures 

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Definite Non-Ancestral Relations and Structure Learning


May 20, 2021
Wenyu Chen, Mathias Drton, Ali Shojaie


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Granger Causality: A Review and Recent Advances


May 07, 2021
Ali Shojaie, Emily B. Fox

* 40 pages, 12 figures 

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On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure


May 05, 2021
Yunhua Xiang, Tianyu Zhang, Xu Wang, Ali Shojaie, Noah Simon

* 47 pages, 1 figure 

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Generalized Score Matching for General Domains


Sep 24, 2020
Shiqing Yu, Mathias Drton, Ali Shojaie

* 50 pages, 14 figures 

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Statistical Inference for Networks of High-Dimensional Point Processes


Jul 15, 2020
Xu Wang, Mladen Kolar, Ali Shojaie


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Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks


Jun 13, 2020
Simge Kucukyavuz, Ali Shojaie, Hasan Manzour, Linchuan Wei


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