Vidyashankar Sivakumar
Ph.D. Candidate
Department of Computer Science and Engineering
University of Minnesota, Twin Cities


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
  1. 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

  2. Estimation with Norm Regularization
    Arindam Banerjee, Sheng Chen, Farideh Fazayeli and Vidyashankar Sivakumar
    Advances in Neural Information Processing Systems (NIPS), 2014(pdf)

  3. 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
  1. 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)

  2. 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