Soumyadeep Chatterjee

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Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Auroop GangulyProfessor, Northeastern University, Boston, MAVerified email at neu.edu
Andre R GoncalvesLawrence Livermore National LaboratoryVerified email at llnl.gov
Karsten SteinhaeuserComputer Science and Engineering, University of MinnesotaVerified email at umn.edu
Sheng ChenPhD student, University of MinnesotaVerified email at umn.edu
Fernando J. Von ZubenDCA/FEEC/UnicampVerified email at dca.fee.unicamp.br
Puja DasMachine Learning Scientist, Apple Inc.Verified email at umn.edu
Huahua WangUber Advanced Technologies CenterVerified email at cs.umn.edu
Amit KonarProfessor of Electronics and Tele-Communication Department, Jadavpur UniversityVerified email at etce.jdvu.ac.in
Stefan LiessResearch Associate, University of Minnesota-Twin CitiesVerified email at umn.edu
Kasturi BhattacharjeeApplied Scientist, AWS AIVerified email at amazon.com
Vipin KumarUniversity of MinnesotaVerified email at umn.edu
Amir AsiaeeVanderbilt University Medical CenterVerified email at vumc.org
Dr. R. JanarthananProfessor, Department of Computer Science and Engineering, Chennai Institute of TechnologyVerified email at citchennai.net
Sheng ChenProfessor, University of SouthamptonVerified email at ecs.soton.ac.uk

Soumyadeep Chatterjee

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Machine Learning Artificial Intelligence Statistics Data Mining


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Sparse group lasso: Consistency and climate applications S Chatterjee, K Steinhaeuser, A Banerjee, S Chatterjee, A Ganguly Proceedings of the 2012 SIAM International Conference on Data Mining, 47-58, 2012	96	2012
Generalized dantzig selector: Application to the k-support norm S Chatterjee, S Chen, A Banerjee Advances in Neural Information Processing Systems 27, 2014	44	2014
Multi-task sparse structure learning AR Gonçalves, P Das, S Chatterjee, V Sivakumar, FJ Von Zuben, ... Proceedings of the 23rd ACM International Conference on Conference on …, 2014	39	2014
Gaussian Copula Precision Estimation with Missing Values H Wang, F Fazayeli, S Chatterjee, A Banerjee AISTATS, 2014	24	2014
Sparse group lasso for regression on land climate variables S Chatterjee, A Banerjee, S Chatterjee, AR Ganguly 2011 IEEE 11th International Conference on Data Mining Workshops, 1-8, 2011	19	2011
Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J Von Zuben, and Arindam Banerjee. Multi-task sparse structure learning AR Gonçalves Proceedings of the 23rd ACM International Conference on Conference on …, 2014	7	2014
Structured estimation in high dimensions: Applications in climate AR Goncalves, A Banerjee, V Sivakumar, S Chatterjee Large-Scale Machine Learning in the Earth Sciences, 13-32, 2017	4	2017
Understanding dominant factors for precipitation over the great lakes region S Chatterjee, S Liess, A Banerjee, V Kumar Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	2	2016
A simple and robust algorithm for microarray data clustering based on gene population‐variance ratio metric S Chatterjee, K Bhattacharjee, A Konar Biotechnology Journal 4 (9), 1357-1361, 2009	2	2009
High Dimensional Statistical Models: Applications to Climate S Chatterjee University of Minnesota, 2015	1	2015
High Dimensional Structured Estimation with Noisy Designs. A Asiaee, S Chatterjee, A Banerjee SDM, 801-809, 2016		2016
An Improved Method for Clustering Gene Microarray Data Based on Intra-Cluster Distance and Variance K Bhattacharjee, S Chatterjee, A Konar, R Janarthanan 2009 IEEE International Advance Computing Conference, 20-25, 2009		2009
ICDM 2011 Reviewers A Abdullin, Z Abraham, I Adeyanju, N Adluru, M Adnan, S Aghakhani, ...
ROBUSTNESS AND SYNTHESIS OF EARTH SYSTEM MODELS (ESMS): AMulti-TASK LEARNING PERSPECTIVE AR Gonçalves, V Sivakumar, S Chatterjee, D Kumar, S Chatterjee, ...
Mixture of Regression Models for Precipitation Prediction S Chatterjee, A Banerjee, S Chatterjee, A Ganguly

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