Research Interests
My interests change so frequently that I keep losing track (if you ever come back here, you'll find this to be the most dynamic section of my homepage!). All I have been able to figure out is that I want to solve some massive real world problem, which would have a positive impact on the society. As of now, only three ingredients are missing in that pursuit: the (a) problem, (b) skills, and (c) efforts. I am reasonably confident that (a) would fall in the domain of education/energy/healthcare, and (b) would encompass acquiring some degree of expertise in at least Machine Learning, Large Scale Mining, Distributed Computing, Social Networks, and Algorithms. I have absolutely no clue about (c).
I'm always looking for collaborations on interesting/intellectually stimulating/meaningful research problems, so if you're passionate about something falling in this realm, please drop me a line.

Publications
 R. Kondor, N. Teneva, and V. K. Garg. Multiresolution Matrix Factorization. ICML, 2014.
 S. Kpotufe and V. K. Garg. Adaptivity to Local Smoothness and Dimension in Kernel Regression. NIPS, 2013.
 V. K. Garg, T. S. Jayram, and B. Narayanaswamy. Online Optimization with Dynamic Temporal Uncertainty.... AAAI, 2013.
 V. K. Garg, Y. Narahari, and M. N. Murty. Novel Biobjective Clustering (BiGC) based on Cooperative Game Theory. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2013.
 P. Agrawal (Equal Contribution), V. K. Garg (Equal Contribution), and R. Narayanam. Link Label Prediction in Signed Social Networks. IJCAI, 2013.
 R. Narayanam, N.N.R. Ranga Suri, V. K. Garg, and M. N. Murty. Ranking Mechanisms for Maximizing Spread, Trust in Signed Social Networks. ECMLCoLISD, 2012.
 B. Narayanaswamy, V. K. Garg, and T. S. Jayram. Prediction based Storage Management in the Smart Grid. IEEE International Conference on Smart Grid Communications (SmartGridComm), 2012.
 B. Narayanaswamy, V. K. Garg, and T. S. Jayram. Online Optimization for the Smart (Micro) Grid. ACM International Conference on Future Energy Systems (eEnergy), 2012.
 R. Narayanam, N. N. R. Ranga Suri, and V. K. Garg. Ranking Mechanisms for Maximizing Spread in Slashdotlike Online Social Networks. IEEE International Conference on Computer Communications (INFOCOM), 2012 (Demo/Poster Track).
 S. Bhattacherjee, A. Narang, and V. K. Garg. High Throughput Data Redundancy Removal Algorithm with Scalable Performance. HighPerformance and Embedded Architectures and Compilers (HIPEAC), 2011.
 V. K. Garg, A. Narang, and S. Bhattacherjee. Real Time Memory Efficient Data Redundancy Removal Algorithm. ACM International Conference on Information and Knowledge Management (CIKM), 2010.
 A. Narang, R. Gupta, A. Joshi, and V. K. Garg. Highly Scalable Parallel Collaborative Filtering Algorithm. IEEE International Conference on High Performance Computing (HiPC), 2010.
 V. K. Garg. Toward Optimal Disk Layout of Genome Scale Suffix Trees. Simulated Evolution And Learning (SEAL), Springer LNCS, 2010.
 V. K. Garg and M. N. Murty. EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification. Simulated Evolution And Learning (SEAL), Springer LNCS, 2010.
 V. K. Garg and N. Viswanadham. EcoSupply: A Machine Learning Framework for Analyzing the Impact of Ecosystem on Global Supply Chain Dynamics. Simulated Evolution And Learning (SEAL), Springer LNCS, 2010.
 V. K. Garg and M. N. Murty. Feature Subspace SVMs (FSSVMs) for High Dimensional Handwritten Digit Recognition. International Journal of Data Mining, Modelling and Management (IJDMMM), 2009.
 V. K. Garg and M. N. Murty. RACK: RApid Clustering using Kmeans algorithm. IEEE International Conference on Automation Science and Engineering (CASE), 2009.
