My research interests are in data mining and machine learning. Specifically I am working on the analysis and application of high-dimensional statistical techniques on climate science datasets.
My advisor is Prof. Arindam Banerjee.
Conference Publications
Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs
Vidyashankar Sivakumar, Arindam Banerjee and Pradeep Ravikumar Advances in Neural Information Processing Systems (NIPS), 2015
Estimation with Norm Regularization
Arindam Banerjee, Sheng Chen, Farideh Fazayeli and Vidyashankar Sivakumar Advances in Neural Information Processing Systems (NIPS), 2014(pdf)
Multi-task Sparse Structure Learning
Andre Goncalves, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando Jose Von Zuben and Arindam Banerjee International Conference on Information and Knowledge Management (CIKM), 2014 Extended version, 2014 (arXiv)
Workshop Presentations
Predicting Indian Summer Monsoon Rainfall (ISMR) Using a Mixture of Regression Model
Vidyashankar Sivakumar, Moumita Saha, Pabitra Mitra and Arindam Banerjee Fifth International Workshop on Climate Informatics (CI), 2015 (poster presentation)
Robustness and Synthesis of Earth System Models (ESMs): A Multitask Learning Perspective
Andre Goncalves, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Snigdhansu Chatterjee, Auroop Ganguly, Vipin Kumar, Stefan Liess, Pradeep Ravikumar and Arindam Banerjee Fourth International Workshop on Climate Informatics (CI), 2014 (poster presentation)
Work Experience
Project Associate, Indian Institute of Technology, Madras, January 2011-August 2012
Senior Software Engineer in Development, Infosys, September 2007-December 2010
Education
Doctor of Philosophy, Computer Science, University of Minnesota, Twin Cities, Fall 2013 - present
Bachelor of Engineering, Mechanical Engineering, Pune University