I am currently a PhD student at College of Computing, Georgia Tech. Prior to this, I obtained my Masters degree in 2010. I work with Prof. Guy Lebanon. I received my Bachelors degree from Madras Institute of Technology in 2008. As an undergrad, I worked on wireless communications and information theory. Yes, I select text while reading :)
Research
I am interested in all aspects of mathematical statistics (classical and modern) and statistical machine learning. Current research interests include developing and analyzing:
 estimation procedures for high dimensional data
 labeling complexity reduction methods (for classification, regression and structured prediction)
Thanks to Facebook, I will be supported by Facebook Ph.D. Fellowship for 201314.
Papers
Journals

Unsupervised Supervised Learning II: MarginBased Classification without Labels. [Link]
K. Balasubramanian, P. Donmez, G. Lebanon.
Journal of Machine Learning Research (JMLR) 12, pp. 31193145, 2011.

Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels. [Link]
P. Donmez, G. Lebanon, K. Balasubramanian.
Journal of Machine Learning Research (JMLR) 11, pp. 13231351, 2010.
Conferences

Highdimensional Joint Sparsity Random Effects Model for Multitask Learning. [PDF]
K. Balasubramanian, K. Yu, T. Zhang.
Proc. of the 29th Conference on Uncertainty in Artificial Intelligence (UAI), 2013 (to appear).

Ultrahigh Dimensional Feature Screening via RKHS Embeddings. [PDF]
K. Balasubramanian, B. K. Sriperumbudur, G. Lebanon.
Proc. of the 16th International Conference on Artificial Intelligence and Statistics (AISTATS), 2013 (to appear).

Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations. [PDF]
K. Balasubramanian, K. Yu, G. Lebanon.
Proc. of the 30th International Conference on Machine Learning (ICML), 2013 (to appear).

A Landmark Selection Approach for Multioutput Prediction Problems. [PDF]
K. Balasubramanian, G. Lebanon.
Proc. of the 29th International Conference on Machine Learning (ICML), 2012.

Unsupervised Supervised Learning II: MarginBased Classification without Labels. [PDF] [arXiv link]
K. Balasubramanian, P. Donmez, G. Lebanon.
Proc. of the 14th International Conference on Artificial Intelligence and Statistics (AISTATS), 2011.

Asymptotic Analysis of Generative SemiSupervised Learning. [PDF] [arXiv link]
J. V. Dillon, K. Balasubramanian, G. Lebanon.
Proc. of the 27th International Conference on Machine Learning (ICML), 2010.

Dimensionality Reduction for Text using Domain Knowledge. [PDF] [arXiv link]
Y. Mao, K. Balasubramanian, G. Lebanon.
Proc. of the 23rd International Conference on Computational Linguistics (COLING), 2010.

A Fast Algorithm for Nonnegative Tensor Factorization using Block Coordinate Descent
and an Activesettype Method,. [PDF]
K. Balasubramanian, J. Kim, A. Puretskiy, M. W. Berry, H. Park.
Proc. of the 2010 Text Mining Workshop: SIAM International Conference on Data Mining, 2010.
Thesis

Learning without labels and nonnegative tensor factorization. [Link]
K. Balasubramanian.
Master's Thesis, Georgia Institute of Technology, 2010.
Selected Courses
TA Experience