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Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion


Sep 16, 2022
Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo

* 10 pages, 5 figures 

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Two-stage Sampling, Prediction and Adaptive Regression via Correlation Screening (SPARCS)


Oct 02, 2016
Hamed Firouzi, Alfred Hero, Bala Rajaratnam

* To appear in IEEE Transactions on Information Theory. 40 Pages. arXiv admin note: text overlap with arXiv:1303.2378 

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Foundational principles for large scale inference: Illustrations through correlation mining


May 18, 2015
Alfred O. Hero, Bala Rajaratnam


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Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection


Sep 12, 2014
Sang-Yun Oh, Onkar Dalal, Kshitij Khare, Bala Rajaratnam

* NIPS accepted version 

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A convex pseudo-likelihood framework for high dimensional partial correlation estimation with convergence guarantees


Aug 14, 2014
Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam


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G-AMA: Sparse Gaussian graphical model estimation via alternating minimization


May 14, 2014
Onkar Dalal, Bala Rajaratnam

* 21 pages, 3 figures 

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Duality in Graphical Models


Oct 09, 2013
Dhafer Malouche, Bala Rajaratnam, Benjamin T. Rolfs


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Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension


Apr 10, 2013
Hamed Firouzi, Bala Rajaratnam, Alfred Hero

* 31 pages, 9 figures, Appearing in Proceedings of the 16th International Conference on Artificial Intelligence and Statistics (AISTATS) 

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Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation


Nov 27, 2012
Dominique Guillot, Bala Rajaratnam, Benjamin T. Rolfs, Arian Maleki, Ian Wong

* 25 pages, 1 figure, 4 tables. Conference paper 

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