Stability Region Based Expectation Maximization for Model-based Clustering. - Chandan K. Reddy; Hsiao-Dong Chiang; Bala Rajaratnam (ICDM, 2006)

Component-wise parameter smoothing for learning mixture models. - Chandan K. Reddy; Bala Rajaratnam (ICPR, 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)

Theory and Practice of Expectation Maximization (EM) Algorithm. - Chandan K. Reddy; Bala Rajaratnam (Encyclopedia of Data Warehousing and Mining, 2009)

Learning mixture models via component-wise parameter smoothing. - Chandan K. Reddy; Bala Rajaratnam (Comput. Stat. Data Anal., 2010)

Successive Normalization of Rectangular Arrays: Rates of Convergence. - Richard A. Olshen; Bala Rajaratnam (CCP, 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 (FUSION, 2011)

Natural order recovery for banded covariance models. - Benjamin T. Rolfs; Bala Rajaratnam (SAM, 2012)

Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation. - Benjamin T. Rolfs; Bala Rajaratnam; Dominique Guillot; Ian Wong; Arian Maleki (NIPS, 2012)

Successive Standardization of Rectangular Arrays. - Richard A. Olshen; Bala Rajaratnam (Algorithms, 2012)

Positive Definite Completion Problems for Bayesian Networks. - Emanuel Ben-David; Bala Rajaratnam (SIAM J. Matrix Anal. Appl., 2012)

Hub Discovery in Partial Correlation Graphs. - Alfred O. Hero III; Bala Rajaratnam (IEEE Trans. Inf. Theory, 2012)

Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension. - Hamed Firouzi; Bala Rajaratnam; Alfred O. Hero III (AISTATS, 2013)

Two-stage variable selection for molecular prediction of disease. - Hamed Firouzi; Bala Rajaratnam; Alfred O. Hero III (CAMSAP, 2013)

A note on the lack of symmetry in the graphical lasso. - Benjamin T. Rolfs; Bala Rajaratnam (Comput. Stat. Data Anal., 2013)

Best permutation analysis. - Bala Rajaratnam; Julia Salzman (J. Multivar. Anal., 2013)

Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection. - Sang-Yun Oh; Onkar Dalal; Kshitij Khare; Bala Rajaratnam (NIPS, 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)

Two-stage Sampling, Prediction and Adaptive Regression via Correlation Screening (SPARCS). - Hamed Firouzi; Bala Rajaratnam; Alfred O. Hero III (CoRR, 2015)

Differential calculus on graphon space. - Peter Diao; Dominique Guillot; Apoorva Khare; Bala Rajaratnam (J. Comb. Theory A, 2015)

Large-scale correlation mining for biomolecular network discovery. - Alfred O. Hero III; Bala Rajaratnam (Big Data over Networks, 2016)

The role of the isotonizing algorithm in Stein's covariance matrix estimator. - Brett Naul; Bala Rajaratnam; Dario Vincenzi (Comput. Stat., 2016)

Critical exponents of graphs. - Dominique Guillot; Apoorva Khare; Bala Rajaratnam (J. Comb. Theory A, 2016)

Foundational Principles for Large-Scale Inference: Illustrations Through Correlation Mining. - Alfred O. Hero III; Bala Rajaratnam (Proc. IEEE, 2016)

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

Two-Stage Sampling, Prediction and Adaptive Regression via Correlation Screening. - Hamed Firouzi; Alfred O. Hero III; Bala Rajaratnam (IEEE Trans. Inf. Theory, 2017)

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)

Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion. - Han Wu 009; Jie Yin 001; Bala Rajaratnam; Jianyuan Guo (ICLR, 2023)

A Unified Framework for Correlation Mining in Ultra-High Dimension. - Yun Wei; Bala Rajaratnam; Alfred O. Hero III (IEEE Trans. Inf. Theory, 2023)