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Publication search results
found 173 matches
- 2024
- Dan Han, Vicki Modisette, Melinda Forthofer, Rajib Paul:
Hierarchical Bayesian adaptive lasso methods on exponential random graph models. Appl. Netw. Sci. 9(1): 9 (2024) - Zhiyong Hu, Dipak K. Dey:
Generalized Variable Selection Algorithms for Gaussian Process Models by LASSO-Like Penalty. J. Comput. Graph. Stat. 33(2): 477-486 (2024) - Oscar Hernan Madrid Padilla:
Variance estimation in graphs with the fused lasso. J. Mach. Learn. Res. 25: 250:1-250:45 (2024) - Gal Shalom, Eran Treister, Irad Yavneh:
pISTA: Preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso. SIAM J. Sci. Comput. 46(2): S445-S466 (2024) - Philipp Dettling, Mathias Drton, Mladen Kolar:
On the Lasso for Graphical Continuous Lyapunov Models. CLeaR 2024: 514-550 - Zhaoye Pan, Xiaolu Wang, Huikang Liu, Jun Zhang:
An Efficient Hierarchical Block Coordinate Descent Method for Time-Varying Graphical Lasso. ICASSP 2024: 9836-9840 - Shuheng Zhou, Kristjan H. Greenewald:
Sharper Rates of Convergence for the Tensor Graphical Lasso Estimator. ISIT 2024: 533-538 - Dorcas Ofori-Boateng, Jaidev Goel, Ivor Cribben, Yulia R. Gel:
Graphical Model-Based Lasso for Weakly Dependent Time Series of Tensors. ECML/PKDD (5) 2024: 249-264 - Andrei Buciulea, Jiaxi Ying, Antonio G. Marques, Daniel P. Palomar:
Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals. CoRR abs/2404.02621 (2024) - Fadi Alharbi, Aleksandar Vakanski, Murtada Khalafallah Elbashir, Mohanad Mohammed:
LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification. CoRR abs/2408.17384 (2024) - 2023
- Le Chang, Alan H. Welsh:
Robust Multivariate Lasso Regression with Covariance Estimation. J. Comput. Graph. Stat. 32(3): 961-973 (2023) - Yiqun T. Chen, Sean Jewell, Daniela M. Witten:
More Powerful Selective Inference for the Graph Fused Lasso. J. Comput. Graph. Stat. 32(2): 577-587 (2023) - Aramayis Dallakyan, Mohsen Pourahmadi:
Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Replicated Time Series. J. Comput. Graph. Stat. 32(1): 157-170 (2023) - Mitchell Krock, William Kleiber, Dorit Hammerling, Stephen Becker:
Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso. J. Comput. Graph. Stat. 32(4): 1472-1487 (2023) - Luigi Augugliaro, Gianluca Sottile, Ernst C. Wit, Veronica Vinciotti:
cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values. J. Stat. Softw. 105(1) (2023) - Bo Jiang, Beibei Wang, Si Chen, Jin Tang, Bin Luo:
Graph Neural Network Meets Sparse Representation: Graph Sparse Neural Networks via Exclusive Group Lasso. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12692-12698 (2023) - Souvik Seal, Qunhua Li, Elle Butler Basner, Laura M. Saba, Katerina J. Kechris:
RCFGL: Rapid Condition adaptive Fused Graphical Lasso and application to modeling brain region co-expression networks. PLoS Comput. Biol. 19(1) (2023) - Zijie Luo, Weiguo Sheng, Bingbing Jiang, Yi Liu:
Structure-Guided Graphical Lasso for Process Monitoring. SAFEPROCESS 2023: 1-6 - Mengfei Liu, Shuangshuang Wei, Shuhui Liu, Xuequn Shang, Yupei Zhang:
Course-Graph Discovery from Academic Performance Using Nonnegative LassoNet. ICCSE (3) 2023: 364-370 - Can Pouliquen, Paulo Gonçalves, Mathurin Massias, Titouan Vayer:
Implicit Differentiation for Hyperparameter Tuning the Weighted Graphical Lasso. CoRR abs/2307.02130 (2023) - Chengjing Wang, Peipei Tang, Wenling He, Meixia Lin:
Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm. CoRR abs/2308.08852 (2023) - 2022
- Jiacheng Leng, Ling-Yun Wu:
Importance-Penalized Joint Graphical Lasso (IPJGL): differential network inference via GGMs. Bioinform. 38(3): 770-777 (2022) - Aramayis Dallakyan, Rakheon Kim, Mohsen Pourahmadi:
Time series graphical lasso and sparse VAR estimation. Comput. Stat. Data Anal. 176: 107557 (2022) - Natalia Zemlianskaia, W. James Gauderman, Juan Pablo Lewinger:
A Scalable Hierarchical Lasso for Gene-Environment Interactions. J. Comput. Graph. Stat. 31(4): 1091-1103 (2022) - Wei Gao, Haizhong Yang:
Time-varying Group Lasso Granger Causality Graph for High Dimensional Dynamic system. Pattern Recognit. 130: 108789 (2022) - Yao Zhang, Sijia Peng, Yun Xiong, Xiangnan Kong, Xinyue Liu, Yangyong Zhu:
Multi-task attributed graphical lasso and its application in fund classification. World Wide Web 25(3): 1425-1446 (2022) - Gal Shalom, Eran Treister, Irad Yavneh:
pISTA: preconditioned Iterative Soft Thresholding Algorithm for Graphical Lasso. CoRR abs/2205.10027 (2022) - Oscar Hernan Madrid Padilla:
Variance estimation in graphs with the fused lasso. CoRR abs/2207.12638 (2022) - Andrew Bailey, David R. Westhead, Luisa Cutillo:
antGLasso: An Efficient Tensor Graphical Lasso Algorithm. CoRR abs/2211.02920 (2022) - 2021
- Wenyu Liu, Hao Yan, Qing Wang, Nan Hu, Ni Liu, Fanding Xu, Junbo Duan:
Smoothing of Time-Varying Graph With the Generalized LASSO. IEEE Access 9: 162348-162358 (2021)
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