Rajaratnam, Bala

6 publications

ICLR 2023 Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo

MLJ 2019 A Scalable Sparse Cholesky Based Approach for Learning High-Dimensional Covariance Matrices in Ordered Data Kshitij Khare, Sang-Yun Oh, Syed Rahman, Bala Rajaratnam

AISTATS 2017 Generalized Pseudolikelihood Methods for Inverse Covariance Estimation Alnur Ali, Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam

NeurIPS 2014 Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection Sang Oh, Onkar Dalal, Kshitij Khare, Bala Rajaratnam

AISTATS 2013 Predictive Correlation Screening: Application to Two-Stage Predictor Design in High Dimension Hamed Firouzi, Bala Rajaratnam, Alfred O. Hero Iii

NeurIPS 2012 Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation Benjamin Rolfs, Bala Rajaratnam, Dominique Guillot, Ian Wong, Arian Maleki