Machine Learning Lab

Research Areas and Publications


2017
Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 430-443 (2017) PDF
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya ICML 2017: 2769-2777 PDF Resources
Corpus-Based Translation Induction in Indian Languages Using Auxiliary Language Corpora from Wikipedia Goutham Tholpadi, Chiranjib Bhattacharyya, Shirish Shevade ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) , 2017. PDF
Identifying groups of strongly correlated variables through Smoothed Ordered Weighted L1-norms Raman Sankaran, Francis Bach, Chiranjib Bhattacharyya International Conference on Artificial Intelligence & Statistics (AISTATS) , 2017. PDF Resources
SOPER: Discovering the Influence of Fashion and the Many Faces of User from Session Logs using Stick Breaking Process Lucky Dhakad, Mrinal Kanti Das, Chiranjib Bhattacharyya, Samik Datta, Mihir Kale, Vivek Mehta CIKM 2017: 1609-1618 PDF
Vine copulas for mixed data : multi-view clustering for mixed data beyond meta-Gaussian dependencies Lavanya Sita Tekumalla, Vaibhav Rajan, Chiranjib Bhattacharyya Machine Learning, Springer Nature SharedIt Initiative , 2017 PDF
2016
Copula-HDP-HMM: Non-parametric Modeling of Temporal Multivariate Data for I/O Efficient Bulk Cache Preloading Lavanya Sita Tekumalla, Chiranjib Bhattacharyya SIAM Conference on Data Mining (SDM) , 2016. PDF Resources
HLaffy: estimating peptide affinities for Class-1 HLA molecules by learning position-specific pair potentials Sumanta Mukherjee, Chiranjib Bhattacharyya, Nagasuma Chandra Bioinformatics 32(15): 2297-2305 (2016) PDF
Non-negative Matrix Factorization under Heavy Noise Chiranjib Bhattacharyya, Navin Goyal, Ravindran Kannan, Jagdeep Pani International Conference on Machine Learning (ICML) , 2016 PDF
2015
Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles Trapit Bansal, Mrinal Das, Chiranjib Bhattacharyya ACM Conference on Recommender Systems (RecSys) , 2015. PDF
EntScene: Nonparametric Bayesian Temporal Segmentation of Videos Aimed at Entity-Driven Scene Detection Adway Mitra, Chiranjib Bhattacharyya, Soma Biswas International Joint Conference on Artificial Intelligence (IJCAI) , 2015. PDF Resources
Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson Lavanya Sita Tekumalla, Chiranjib Bhattacharyya SIAM Conference on Data Mining (SDM) , 2015. PDF Resources
Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models M. Das, T. Bansal, C. Bhattacharyya ICML , 2015. PDF
Relating Romanized Comments to News Articles by Inferring Multi-glyphic Topical Correspondence Goutham Tholpadi, Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya Association for the Advancement of Artificial Intelligence , 2015. PDF
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction Rakesh S, Bibaswan Chatterjee, Raman Sankaran, Chiranjib Bhattacharyya, Francis Bach Neural Information Processing Systems (NIPS) , 2015. PDF
Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya SIAM Conference on Data Mining (SDM) , 2015. PDF Resources
Translation Induction on Indian Language Corpora using Translingual Themes from Other Languages Goutham Tholpadi, Chiranjib Bhattacharyya, Shirish Shevade 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing) , 2015. PDF
Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization Fredrik D. Johansson, Ankani Chattoraj, Chiranjib Bhattacharyya and Devdatt Dubhashi Neural Information Processing Systems (NIPS) , 2015. PDF
2014
A provable SVD-based algorithm for learning topics in dominant admixture corpus rapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan Neural Information Processing Systems , 2014. PDF
Global graph kernels using geometric embeddings Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi and Chiranjib Bhattacharyya International Conference on Machine Learning , 2014. PDF Resources
Going beyond Corr-LDA for Detecting Specific Comments on News & Blogs Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya WSDM , 2014. PDF
Learning on graphs using Orthonormal Representation is Statistically Consistent Rakesh S, Chiranjib Bhattacharyya Neural Information Processing Systems , 2014 PDF
2013
Lovasz-theta function, SVMs and finding large dense subgraphs V. Jethava, A. Martinssson, C. Bhattacharyya, D. Dubhashi Journal of Machine Learning Research , 2013 PDF Resources
Robust formulations for clustering-based large-scale classification Saketha Nath Jagarlapudi, Aharon Ben-Tal, Chiranjib Bhattacharyya Optimization and Engineering, Volume 14, Issue 2, pp 225-250 , 2013. PDF
Subtle Topic Models and Discovering Subtly Manifested Soft ware Concerns Automatically Mrinal Kanti Das, Suparna Bhattacharya, Chiranjib Bhattacharyya, Kanchi Gopinath ICML , 2013. PDF
2012
Cluster Labeling for Multilingual Scatter/Gather using Comparable Corpora Goutham Tholpadi, Mrinal Kanti Das, Chiranjib Bhattacharyya, and Shirish Shevade European Conference on Information Retrieval , 2012. PDF
Covariance Profiles: A Signature Representation For Object Sets Anoop K.R. , Adway Mitra , Ujwal Bonde , Chiranjib Bhattacharyya , K.R.Ramakrishnan International Conf on Pattern Recognition (ICPR) , 2012. PDF
Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, Arkadi Nemirovski Journal of Machine Learning Research , 2012 PDF
Eigen- profiles of spatio-temporal fragments for adaptive region based tracking Adway Mitra , Anoop K.R. , Ujwal Bonde , Chiranjib Bhattacharyya , K.R.Ramakrishnan International Conference on Accoustics, Speech and Signal Processing (ICASSP) , 2012 PDF
LogUCB: An Explore-Exploit Algorithm For Comments Recommendation Dhruv Kumar Mahajan, Rajeev Rastogi, Charu Tiwari, Adway Mitra Conference on Information and Knowledge Management (CIKM) , 2012. PDF
Lovasz theta function, SVMs and finding large dense subgraphs V. Jethava, A. Martinssson, C. Bhattacharyya, D. Dubhashi Neural Information Processing Systems , 2012. PDF Resources
2011
Diversity in Ranking via Resistive Graph Centers Avinava Dubey; Soumen Chakrabarti; Chiranjib Bhattacharyya KDD , 2011 PDF
Exploiting Coherence in Reviews for Discovering Latent Facets and Associated Sentiments Himabindu Lakkaraju, Chiranjib Bhattacharyya, Indrajit Bhattacharya, Srujana Merugu SDM , 2011. PDF Resources
Learning Dirichlet Processes from Partially Observed Groups Avinava Dubey , Indrajit Bhattacharya , Mrinal Das , Tanveer Faruquie and Chiranjib Bhattacharyya International Conference on Data Mining , 2011. PDF
NETGEM: Network Embedded Temporal GEnerative Model for gene expression data Vinay Jethava; Chiranjib Bhattacharyya; Devdutt Dubhashi; Goutam N. Vemuri BMC Bioinformatics , 2011. PDF
ReadAlong: Reading Articles and Comments Togethar Dyut Kumar Sil, Srinivasan H Sengamedu, Chiranjib Bhattacharyya CIKM , 2011 PDF
ReadAlong: Reading Articles and Comments Together Dyut Kumar Sil; Srinivasan H. Sengamedu; Chiranjib Bhattacharyya WWW (poster) , 2011. PDF
Scalable Multi-Dimensional User Intent Identification using Tree Structured Distributions Vinay Jethava; Liliana Calderón-Benavides;Ricardo Baeza-Yates; Chiranjib Bhattacharyya; Devdutt Dubhashi SIGIR , 2011. PDF
Web Information Extraction Using Markov Logic Networks (Full Paper) Sandeepkumar Satpal; Sahely Bhadra; S Sundararajan; Rajeev Rastogi; Prithviraj Sen KDD , 2011. PDF
2010
Chance Constrained Uncertain Classification via Robust Optimization. A. Ben-Tal, S. Bhadra, C. Bhattacharyya and J. Saketha Nath. Mathematical Programming Series B special issue on Machine Learning , 2010. PDF
Discovery of Application Workloads from Network File Traces Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. Gopinath,Thirumale Niranjan, Sai Susarla Conference on File and Storage Technologies(FAST) , 2010. PDF
Efficient algorithms for learning kernels from multiple Similarity matrices with general convex loss functions Achintya Kundu, Vikram Tankasali, Chiranjib Bhattacharyya, Aharon Ben-Tal NIPS , 2010. PDF
Robust Formulations for Handling Uncertainty in Kernel Matrices Sahely Bhadra, Sourangshu Bhattacharrya, Chiranjib Bhattacharryya and Aharon Ben-tal International Conference on Machine Learning (ICML) , 2010. PDF
Speedup Macroblock Mode Decision in H.264/SVC Encoding Using Cost-Sensitive Learning Urvang Joshi, Rashad Jillani, Chiranjib Bhattacharya, Hari Kalva and K. R. Ramakrishnan; International Conference on Consumer Electronics (ICCE) , 2010. PDF
Variable Sparsity Kernel Learning J. Aflalo, A. Ben-Tal, C. Bhattacharyya, J. Saketha Nath and S. Raman. (Accepted for )JMLR , 2010. PDF
Video Coding Mode Decision As a Classification Problem Rashad Jilani , Urvang Joshi , Chiranjib Bhattacharyya , Hari Kalva , K R Ramakrishnan Visual Information Processing and Communication (VCIP) , 2010. PDF
2009
A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data Sahely Bhadra, Chiranjib Bhattacharyya, Nagasuma R Chandra and I Saira Mian. Algorithms for Molecular Biology. 4:5 , 2009. PDF
Discovering Rules from Disk Events for Predicting Hard Drive Failures Vipul Agrawal, Chiranjib Bhattacharyya, Thirumale Niranjan and Sai Susarla International Conference of Machine Learning and Applications(ICMLA) , 2009. PDF
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. PDF
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation. J. Saketha Nath, G. Dinesh, S. Raman, C. Bhattacharyya, A. Ben-Tal, K. R. Ramakrishnan NIPS , 2009. PDF
2008
A Large Margin Approach for writer independent online handwriting classification Karthik Kumara, Rahul Agarwal, Chiranjib Bhattacharyya and Nagasuma R Chandra Pattern Recognition Letters. May, , 2008. PDF
Structured Learning for Non-Smooth Ranking losses Soumen Chakrabarthi,Rajiv Khanna, Uma Sawant, Chiranjib Bhattacharyya KDD , 2008. PDF
2007
A Randomized Algorithm for Large Scale Support Vector Learning Krishnan S, Chiranjib Bhattacharyya, Ramesh Hariharan Annual Conference on Neural Information Processing Systems (NIPS) , 2007. PDF
Comparison of protein structures by growing neighborhood alignments. Sourangshu Bhattacharya, Chiranjib Bhattacharyya and Nagasuma R Chandra. BMC Bioinformatics. 6;8:77. March, , 2007. PDF
Focused Crawling with Scalable Ordinal Regression Solvers Rashmin B, Saketha Nath, Krishnan S, Sivaramakrishnan K R, Chiranjib Bhattacharyya, M. Narasimha Murty International Conference on Machine Learning (ICML) , 2007. PDF
Frechet distance based approach for searching online handwritten documents Sriraghavendra R, Karthik K, Chiranjib Bhattacharyya International Conference on Document Analysis and Recognition (ICDAR) , 2007. PDF
Kernels for Large Margin Time-Series Classification Sivaramakrishnan K R, Karthik K, Chiranjib Bhattacharyya International Joint Conference on Neural Networks (IJCNN) , 2007. PDF
Kernels on Attributed Pointsets with Applications Mehul Parsana, Sourangshu Bhattacharya, Chiranjib Bhattacharyya and K. R. Ramakrishnan Annual Conference on Neural Information Processing Systems (NIPS) , 2007. PDF
Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates. J. Saketha Nath and Chiranjib Bhattacharyya SIAM International Conference on Data mining (SDM) , 2007. PDF
Structural Alignment based Kernels for Protein Structure Classification. Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R Chandra International Conference on Machine Learning (ICML) , 2007. PDF
2006
Clustering Based Large Margin Classification: A Scalable Approach using SOCP Formulation Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty Annual SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) , 2006. PDF
Projections for fast protein structure retrieval Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R Chandra BMC Bioinformatics , 2006. PDF
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--13 , 2006. PDF
2005
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) Workshop (LNCS) , 2005. PDF
2004
A Second Order Cone Programming Formulation for Classifying Missing Data Chiranjib Bhattacharyya, K. S. Pannagadatta, Alex Smola Neural Information Processing Systems (NIPS) , 2004 PDF
Efficient Algorithms for Intrusion Detection Niranjan K. Boora, Chiranjib Bhattacharyya and K. Gopinath ICDCIT , 2004. PDF
Robust Classification of noisy data using Second Order Cone Programming approach. C. Bhattacharyya International Conference on Intelligent Sensing and Information Processing , 2004. PDF
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. Journal of Computational Biology , 2004. PDF Resources
Second Order Cone Programming Formulations for Feature Selection. Chiranjib Bhattacharyya Journal of Machine Learning Research 5, 1417-1433 , 2004. PDF
Time Series Classification for Online Tamil Handwritten Character Recognition-A Kernel Based Approach K.R. Sivaramakrishnan and Chiranjib Bhattacharyya International Conference, ICONIP , 2004 PDF
2003
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, 109-11 , 2003. PDF
Simultaneous feature selection and classification for relevance feedback in image retrieval. R. Prasanna, K. R. Ramakrishnan, and C. Bhattacharyya Tencon , 2003. PDF
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 PDF
Room No 251, Dept. of Computer Science And Automation
Indian Institute Of Science