Journal papers

  1. NETGEM: Network Embedded Temporal GEnerative Model for gene expression data. V. Jethava, C. Bhattacharyya, D. Dubhashi, G. N. Vemuri BMC Bioinformatics 12:327(2011)

  2. Variable Sparsity Kernel Learning. J. Aflalo, A Ben-Tal, C. Bhattacharyya, J. Saketha Nath, S. Raman Journal of Machine Learning research 12: 565-592

  3. Chance constrained uncertain classification via robust optimization. A. Ben-Tal, S. Bhadra, C. Bhattacharyya, J. Saketha Nath Math. Program. 127(1):145-173 (2011)

  4. RAPID: Resource of Asian Primary Immunodeficiency Diseases. Keerthikumar et al. Nucleic Acids Research 37(Database issue)863-867(2009)

  5. A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data S. Bhadra, C. Bhattacharyya, S. I. Mian Algorithms for Molecular Biology 4:5

  6. A Large Margin Approach for writer independent online handwriting classification Karthik Kumara, Rahul Agarwal, Chiranjib Bhattacharyya Pattern Recognition Letters. May, 2008

  7. Comparison of protein structures by growing neighborhood alignments. Sourangshu Bhattacharya, Chiranjib Bhattacharyya and Nagasuma R Chandra. BMC Bioinformatics. 2007 Mar 6;8:77.

  8. Second Order Cone Programming Approaches for Handling Missing and Uncertain Data. Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyya, Alexander J. Smola, Journal of Machine Learning Research 7(Special Topic on Machine Learning and Optimization) 1283--1314, 2006.

  9. Second Order Cone Programming Formulations for Feature Selection. Chiranjib Bhattacharyya, Journal of Machine Learning Research 5, 1417-1433, (2004)

  10. Robust sparse hyperplane classifiers: application to uncertain molecular profiling data. C. Bhattacharyya, L. R. Grate, M. I. Jordan, L. El Ghaoui, and Mian, I. S. In press: Journal of Computational Biology, 2004. [Software]

  11. Integrated analysis of transcript profiling and protein sequence data. L. R. Grate, C. Bhattacharyya, M. I. Jordan, and I. S. Mian. Mechanisms of Ageing and Development, 124, 109-114, 2003.

  12. Simultaneous relevant feature identification and classification in high-dimensional spaces: Application to molecular profiling data.. C.Bhattacharyya, L. R. Grate, A. Rizki, D. Radisky, F. J. Molina, M. I. Jordan, M. J. Bissell, and I. S. Mian. Signal Processing, 83, 729-743, 2003.

  13. A robust minimax approach to classification. G. R. G. Lanckriet, L. El Ghaoui, C. Bhattacharyya, and M. I. Jordan. Journal of Machine Learning Research, 3, 552-582, 2002. [Matlab code]

  14. Mean-field methods for a special class of belief networks C. Bhattacharyya and S.S. Keerthi, Journal of Artificial Intelligence Research, Vol. 15, 2001, pp. 91-114.

  15. Improvements to Platt's SMO algorithm for SVM classifier design S.S. Keerthi, S.K. Shevade, C. Bhattacharyya and K.R.K. Murthy, Neural Computation, Vol. 13, March 2001, pp. 637-649.

  16. A fast iterative nearest point algorithm for support vector machine classifier design. S.S. Keerthi, S.K. Shevade, C. Bhattacharyya and K.R.K. Murthy, IEEE Transactions on Neural Networks, Vol. 11, Jan 2000, pp.124-136.

  17. Improvements to the SMO algorithm for SVM regression S.K. Shevade, S.S. Keerthi, C. Bhattacharyya and K.R.K. Murthy, IEEE Transactions on Neural Networks, Vol. 11, Sept. 2000, pp.1188-1194.

  18. Information geometry and Plefka's mean-field theory C.Bhattacharyya and S.S. Keerthi, Journal of Physics A: Math. Gen., Vol. 33, 2000, pp.1307-1312.

Conference Papers

  1. Diversity of Ranking via resistive graphs A. Dubey, S. Chakrabarti, and Chiranjib Bhattacharyya SIGKDD 2011

  2. Exploiting coherence for Simultaneous Discovery of latent Facets and associated Sentiments Himabindu L., Chiranjib Bhattacharyya, I. Bhattacharya and S. Merugu SDM 2011(Best paper award)

  3. Scalable multi-dimensional user intent identification using tree structured distributions V. Jethava, L. Calderon-Benavides,R. Baeza Yates, C. Bhattacharyya, and D. Dubhashi, SIGIR 2011

  4. ReadAlong: reading articles and comments together D. Sil, S. H. Srinivasan, and C. Bhattacharyya WWW 2011(Poster)

  6. Efficient algorithms for learning kernels from multiple Similarity matrices with general convex loss functions A. Kundu, V. Tankashali, C. Bhattacharyya and A. Ben-Tal NIPS, 2010

  7. Discovery of Application Worloads N. J. Yadwadkar, Chiranjib Bhattacharyya, K. Gopinath, T. Niranjan, S. Susarla FAST, 2010

  8. Robust Formulations for Handling Uncertainty in Kernel Matrices Sahely Bhadra , S. Bhattacharya, Chiranjib Bhattacharyya and Aharon Ben-Tal International Conference on Machine Learning , 2010

  9. On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation. J. Saketha Nath, G. Dinesh, S.Raman, C. Bhattacharyya, Aharon Ben-Tal and K. R. Ramakrishnan NIPS 2009

  10. Discovering Business Process Model from Unstructured Activity Logs. R. Kumar, Chiranjib Bhattacharyya, V. Varshney IEEE SCC, 2010

  11. Conditional Models for Non-smooth Ranking Loss Functions. Avinava Dubey, Jinesh Machchhar, and Chiru Bhattacharyya. International Conference on Data Mining(ICDM) 2009

  12. Discovering Rules from Disk Events for Predicting Hard Drive Failures. V. Agarwal, C. Bhattacharyya, T. Niranjan , Sai Susarla International Conference on Machine Learning Applications(ICMLA), 2009

  13. Interval Data Classification under Partial Information: A Chance-Constraint Approach. Sahely Bhadra , J. Saketha Nath , Aharon Ben-Tal and Chiranjib Bhattacharyya Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) , 2009 (Best Student paper runner up)

  14. Structured learning for non-smooth ranking losses Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chiranjib Bhattacharyya The Fourteenth Annual SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2008

  15. A Randomized Algorithm for Large Scale Support Vector Learning. Krishnan S, Chiranjib Bhattacharyya, Ramesh Hariharan. In Proceedings of 21st Annual Conference on Neural Information Processing Systems (NIPS), 2007

  16. Kernels on Attributed Pointsets with Applications. Mehul Parsana, Sourangshu Bhattacharya, Chiranjib Bhattacharyya and K. R. Ramakrishnan. In Proceedings of 21st Annual Conference on Neural Information Processing Systems (NIPS), 2007

  17. Frechet distance based approach for searching online handwritten documents. Sriraghavendra R, Karthik K, Chiranjib Bhattacharyya. 9th International Conference on Document Analysis and Recognition (ICDAR), 2007

  18. Focussed Crawling with large scale Ordinal Regression Solvers. B. Rashmin, J. Saketha Nath, K. S. Krishnan, K. R. Sivaramakrishnan, C. Bhattacharyya M. N. Murty In Proceedings of 24th International Conference on Machine Learning (ICML), 2007

  19. Structural Alignment based Kernels for Protein Structure Classification. Sourangshu Bhattacharya, Chiranjib Bhattacharyya and Nagasuma R Chandra. In Proceedings of 24th International Conference on Machine Learning (ICML), 2007.

  20. Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates, J. Saketha Nath and C. Bhattacharyya SDM 2007.

  21. Kernels for Large Margin Time-Series Classification Sivaramakrishnan K R, Karthik K, Chiranjib Bhattacharyya. The 24th International Joint Conference on Neural Networks (IJCNN), 2007

  22. Projections for fast protein structure retrieval. Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R Chandra BMC Bioinformatics 2006, 7(Suppl 5):S5 (18 December 2006)

  23. Clustering Based Large Margin Classification: A Scalable Approach using SOCP Formulation Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty The Twelfth Annual SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2006

  24. Ascent Phase Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming . H. M. Prasanna, D. Ghose, M.S. Bhat, C. Bhattacharyya and J. Umakant Optimization: Theories and Applications (OTA) 2005 Workshop (LNCS)

  25. A Second Order Cone Programming Formulation for Classifying Missing Data . Chiranjib Bhattacharyya, K. S. Pannagadatta, Alex Smola Advances in Neural Information Processing Systems (NIPS) 17, 2004

  26. Efficient Algorithms for Intrusion Detection Niranjan K. Boora, Chiranjib Bhattacharyya and K. Gopinath In Proceedings of ICDCIT , 2004.

  27. Time Series Classification for Online Tamil Handwritten Character Recognition- A Kernel Based Approach K.R. Sivaramakrishnan and Chiranjib Bhattacharyya In Proceedings of 11th International Conference, ICONIP , 2004.

  28. Simultaneous classification and classification for relevance feedback in image retrieval. R. Prasanna, K. R. Ramakrishnan, and C. Bhattacharyya Tencon, 2003.

  29. Robust Classification of noisy data using Second Order Cone Programming approach. C. Bhattacharyya. In Proceedings of International Conference on Intelligent Sensing and Information Processing pages pp. 433-438, Chennai, India, 2004.

  30. Simultaneous relevant feature identification and classification in high-dimensional spaces. L. R. Grate, C. Bhattacharyya, M. I. Jordan and I. S. Mian. Workshop on Algorithms in Bioinformatics, 2002. [matlab code], [perl/lp_solve code].

  31. Minimax probability machine. G. R. G. Lanckriet, L. El Ghaoui, C. Bhattacharyya, and M. I. Jordan. In T. Dietterich, S. Becker and Z. Ghahramani (Eds.), Advances in Neural Information Processing Systems (NIPS) 14, 2002.

  32. A variational mean-field theory for sigmoidal belief networks. C. Bhattacharyya and S.S. Keerthi, In Proceedings of Advances in Neural Information Processing Systems, T.K. Leen, T.G. Dietterich and V. Tresp (Eds.), MIT Press, March 2001.