Bala Rajaratnam

发表

Best permutation analysis

Julia Salzman, Bala Rajaratnam, B. Rajaratnam, 2013, J. Multivar. Anal..

Successive Standardization of Rectangular Arrays

Richard A. Olshen, Bala Rajaratnam, 2012, Algorithms.

Influence Diagnostics for High-Dimensional Lasso Regression

Bala Rajaratnam, Honglin Yu, Steven Roberts, 2019, Journal of Computational and Graphical Statistics.

A scalable sparse Cholesky based approach for learning high-dimensional covariance matrices in ordered data

Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam, 2019, Machine Learning.

Natural order recovery for banded covariance models

Bala Rajaratnam, Benjamin T. Rolfs, B. Rajaratnam, 2012, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM).

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

Alfred O. Hero, Bala Rajaratnam, A. Hero, 2015, Proceedings of the IEEE.

A note on the lack of symmetry in the graphical lasso

Bala Rajaratnam, Benjamin T. Rolfs, 2013, Comput. Stat. Data Anal..

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

Hsiao-Dong Chiang, Chandan K. Reddy, Bala Rajaratnam, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Alfred O. Hero, Bala Rajaratnam, Hamed Firouzi, 2013, AISTATS.

Successive Normalization of Rectangular Arrays: Rates of Convergence

Richard A. Olshen, Bala Rajaratnam, 2011, 2011 First International Conference on Data Compression, Communications and Processing.

Generalized Pseudolikelihood Methods for Inverse Covariance Estimation

Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam, 2016, AISTATS.

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

Alfred O. Hero, Kumar Sricharan, Bala Rajaratnam, 2011, 14th International Conference on Information Fusion.

Hub Discovery in Partial Correlation Graphs

Alfred O. Hero, Bala Rajaratnam, A. Hero, 2012, IEEE Transactions on Information Theory.

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

Brett Naul, Bala Rajaratnam, Dario Vincenzi, 2016, Comput. Stat..

Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection

Kshitij Khare, Sang-Yun Oh, Bala Rajaratnam, 2014, NIPS.

Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation

Arian Maleki, Bala Rajaratnam, Benjamin T. Rolfs, 2012, NIPS.

Uncertainty Quantification for Modern High-Dimensional Regression via Scalable Bayesian Methods

Kshitij Khare, Liyuan Zhang, Bala Rajaratnam, 2019 .

Two-stage variable selection for molecular prediction of disease

Alfred O. Hero, Bala Rajaratnam, Hamed Firouzi, 2013, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Critical exponents of graphs

Bala Rajaratnam, Apoorva Khare, Dominique Guillot, 2015, J. Comb. Theory A.

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

Alfred O. Hero, Bala Rajaratnam, Hamed Firouzi, 2015, IEEE Transactions on Information Theory.

Component-wise parameter smoothing for learning mixture models

Chandan K. Reddy, Bala Rajaratnam, 2008, 2008 19th International Conference on Pattern Recognition.

Learning mixture models via component-wise parameter smoothing

Chandan K. Reddy, Bala Rajaratnam, C. Reddy, 2010, Comput. Stat. Data Anal..

Differential calculus on graphon space

Bala Rajaratnam, Apoorva Khare, Dominique Guillot, 2014, J. Comb. Theory, Ser. A.

Theory and Practice of Expectation Maximization (EM) Algorithm

Chandan K. Reddy, Bala Rajaratnam, C. Reddy, 2009, Encyclopedia of Data Warehousing and Mining.

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

Tianxi Li, Bala Rajaratnam, Meng Xu, 2014, Comput. Stat..

Positive Definite Completion Problems for Bayesian Networks

Bala Rajaratnam, Emanuel Ben-David, B. Rajaratnam, 2012, SIAM J. Matrix Anal. Appl..

Stability Region Based Expectation Maximization for Model-based Clustering

Hsiao-Dong Chiang, Chandan K. Reddy, Bala Rajaratnam, 2006, Sixth International Conference on Data Mining (ICDM'06).

Large-scale correlation mining for biomolecular network discovery

Bala Rajaratnam, Alfred Hero, A. Hero, 2016, Big Data over Networks.

A unified framework for correlation mining in ultra-high dimension

Alfred O. Hero, Bala Rajaratnam, Yun Wei, 2021 .

Climate Field Completion via Markov Random Fields: Application to the HadCRUT4.6 Temperature Dataset

Bala Rajaratnam, John Kennedy, Colin Morice, 2021 .

Wishart distributions for decomposable covariance graph models

Kshitij Khare, Bala Rajaratnam, K. Khare, 2011, 1103.1768.

Fast Bayesian Lasso for High-Dimensional Regression

Bala Rajaratnam, Doug Sparks, 2015 .

Comment on: Sequences of regressions and their independences

Bala Rajaratnam, 2012 .

Statistical paleoclimate reconstructions via Markov random fields

Bala Rajaratnam, Julien Emile-Geay, Dominique Guillot, 2013, 1309.6702.

Wishart Distributions for Covariance Graph Models

Kshitij Khare, Bala Rajaratnam, K. Khare, 2009 .

Declining rainfall and regional variability changes in Jordan

Kazi Rahman, Bala Rajaratnam, Steven M. Gorelick, 2015 .

Model-free consistency of graph partitioning

Bala Rajaratnam, Apoorva Khare, Dominique Guillot, 2016 .

Complete characterization of Hadamard powers preserving Loewner positivity, monotonicity, and convexity

Bala Rajaratnam, Apoorva Khare, Dominique Guillot, 2013, 1311.1581.

FLEXIBLE COVARIANCE ESTIMATION IN GRAPHICAL GAUSSIAN MODELS

Carlos M. Carvalho, Bala Rajaratnam, H. Massam, 2008, 0901.3267.

Sparse Gaussian graphical model estimation via alternating minimization

Bala Rajaratnam, Onkar Dalal, B. Rajaratnam, 2014, 1405.3034.

Contribution of changes in atmospheric circulation patterns to extreme temperature trends

Bala Rajaratnam, Noah S. Diffenbaugh, Nathaniel C. Johnson, 2015, Nature.

The Extraordinary California Drought of 2013-2014: Character, Context, and the Role of Climate Change

Bala Rajaratnam, Matz A. Haugen, Noah S. Diffenbaugh, 2014 .

Extracting Common Time Trends from Concurrent Time Series: Maximum Autocorrelation Factors with Application to Tree Ring Time Series Data

Bala Rajaratnam, Paul Switzer, Matz A. Haugen, 2015, 1502.01073.

Lasso Regression: Estimation and Shrinkage via Limit of Gibbs Sampling

Bala Rajaratnam, Steven Roberts, Doug Sparks, 2014, 1401.2480.

On Discriminating between GCM Forcing Configurations Using Bayesian Reconstructions of Late-Holocene Temperatures*

Bo Li, Murali Haran, Peter F. Craigmile, 2015 .

Positive definite completion problems for directed acyclic graphs

Bala Rajaratnam, Emanuel Ben-David, B. Rajaratnam, 2011, 1201.0310.

Bayesian inference for Gaussian graphical models beyond decomposable graphs

Kshitij Khare, Bala Rajaratnam, Abhishek Saha, 2015, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

High dimensional Bayesian inference for Gaussian directed acyclic graph models

Tianxi Li, Bala Rajaratnam, Emanuel Ben-David, 2011, 1109.4371.

On the Solution Path of Regularized Covariance Estimators

Joong-Ho Won, Sang-Yun Oh, Bala Rajaratnam, 2015, 1502.00471.

Hub discovery in partial correlation graphical models

Alfred Hero, Bala Rajaratnam, A. Hero, 2011, 1109.6846.