Bala Rajaratnam

According to our database, Bala Rajaratnam authored at least 29 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Unified Framework for Correlation Mining in Ultra-High Dimension.

Yun Wei, Bala Rajaratnam, Alfred O. Hero III

IEEE Trans. Inf. Theory, 2023

Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion.

Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Mach. Learn., 2019

2017

Two-Stage Sampling, Prediction and Adaptive Regression via Correlation Screening.

Hamed Firouzi, Alfred O. Hero III, Bala Rajaratnam

IEEE Trans. Inf. Theory, 2017

Generalized Pseudolikelihood Methods for Inverse Covariance Estimation.

Alnur Ali, Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Foundational Principles for Large-Scale Inference: Illustrations Through Correlation Mining.

Alfred O. Hero III, Bala Rajaratnam

Proc. IEEE, 2016

Critical exponents of graphs.

Dominique Guillot, Apoorva Khare, Bala Rajaratnam

J. Comb. Theory, Ser. A, 2016

The role of the isotonizing algorithm in Stein's covariance matrix estimator.

Brett Naul, Bala Rajaratnam, Dario Vincenzi

Comput. Stat., 2016

Large-scale correlation mining for biomolecular network discovery.

Alfred O. Hero III, Bala Rajaratnam

Proceedings of the Big Data over Networks, 2016

2015

Differential calculus on graphon space.

Peter Diao, Dominique Guillot, Apoorva Khare, Bala Rajaratnam

J. Comb. Theory, Ser. A, 2015

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

Hamed Firouzi, Bala Rajaratnam, Alfred O. Hero III

CoRR, 2015

2014

Detecting the impact area of BP deepwater horizon oil discharge: an analysis by time varying coefficient logistic models and boosted trees.

Tianxi Li, Chao Gao, Meng Xu, Bala Rajaratnam

Comput. Stat., 2014

Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection.

Sang-Yun Oh, Onkar Dalal, Kshitij Khare, Bala Rajaratnam

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Best permutation analysis.

Bala Rajaratnam, Julia Salzman

J. Multivar. Anal., 2013

A note on the lack of symmetry in the graphical lasso.

Benjamin T. Rolfs, Bala Rajaratnam

Comput. Stat. Data Anal., 2013

Two-stage variable selection for molecular prediction of disease.

Hamed Firouzi, Bala Rajaratnam, Alfred O. Hero III

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

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

Hamed Firouzi, Bala Rajaratnam, Alfred O. Hero III

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Hub Discovery in Partial Correlation Graphs.

Alfred O. Hero III, Bala Rajaratnam

IEEE Trans. Inf. Theory, 2012

Positive Definite Completion Problems for Bayesian Networks.

Emanuel Ben-David, Bala Rajaratnam

SIAM J. Matrix Anal. Appl., 2012

Successive Standardization of Rectangular Arrays.

Richard A. Olshen, Bala Rajaratnam

Algorithms, 2012

Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation.

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

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Natural order recovery for banded covariance models.

Benjamin T. Rolfs, Bala Rajaratnam

Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

2011

A local dependence measure and its application to screening for high correlations in large data sets.

Kumar Sricharan, Alfred O. Hero III, Bala Rajaratnam

Proceedings of the 14th International Conference on Information Fusion, 2011

Successive Normalization of Rectangular Arrays: Rates of Convergence.

Richard A. Olshen, Bala Rajaratnam

Proceedings of the First International Conference on Data Compression, 2011

2010

Learning mixture models via component-wise parameter smoothing.

Chandan K. Reddy, Bala Rajaratnam

Comput. Stat. Data Anal., 2010

2009

Theory and Practice of Expectation Maximization (EM) Algorithm.

Chandan K. Reddy, Bala Rajaratnam

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

2008

TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models.

Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratnam

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Component-wise parameter smoothing for learning mixture models.

Chandan K. Reddy, Bala Rajaratnam

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2006

Stability Region Based Expectation Maximization for Model-based Clustering.

Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratnam

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006