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All publications by Chiranjib Bhattacharyya
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Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models
Mrinal Das, Trapit Bansal and Chiranjib Bhattacharyya
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization
Fredrik D. Johansson, Ankani Chattoraj, Chiranjib Bhattacharyya and Devdatt Dubhashi
Advances in Neural Information Processing Systems 28, 2015


Spectral Norm Regularization of Orthonormal Representations for Graph Transduction
Rakesh Shivanna, Bibaswan K. Chatterjee, Raman Sankaran, Chiranjib Bhattacharyya and Francis Bach
Advances in Neural Information Processing Systems 28, 2015


Global graph kernels using geometric embeddings
Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi and Chiranjib Bhattacharyya
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Learning on graphs using Orthonormal Representation is Statistically Consistent
Rakesh Shivanna and Chiranjib Bhattacharyya
Advances in Neural Information Processing Systems 27, 2014


A provable SVD-based algorithm for learning topics in dominant admixture corpus
Trapit Bansal, Chiranjib Bhattacharyya and Ravindran Kannan
Advances in Neural Information Processing Systems 27, 2014


Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically
Mrinal Das, Suparna Bhattacharya, Chiranjib Bhattacharyya and Gopinath Kanchi
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


"The Lovasz $\theta$ function, SVMs and finding large dense subgraphs"
Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya and Devdatt Dubhashi
Advances in Neural Information Processing Systems 25, 2012


Robust Formulations for Handling Uncertainty in Kernel Matrices
Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib Bhattacharyya and Aharon Ben-tal
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions
Achintya Kundu, Vikram Tankasali, Chiranjib Bhattacharyya and Aharon Ben-tal
Advances in Neural Information Processing Systems 23, 2010


On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation
Saketha N. Jagarlapudi, Dinesh G, Raman S, Chiranjib Bhattacharyya, Aharon Ben-tal and Ramakrishnan K.r.
Advances in Neural Information Processing Systems 22, 2009


Structural alignment based kernels for protein structure classification
Sourangshu Bhattacharya, Chiranjib Bhattacharyya and Nagasuma Chandra
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Focused crawling with scalable ordinal regression solvers
Rashmin Babaria, J. S. Nath, S. Krishnan, K. R. Sivaramakrishnan, Chiranjib Bhattacharyya and M. N. Murty
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Second Order Cone Programming Approaches for Handling Missing and Uncertain Data
Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyya and Alex J. Smola
Journal of Machine Learning Research, 2006


A Second Order Cone programming Formulation for Classifying Missing Data
Chiranjib Bhattacharyya, Pannagadatta K. Shivaswamy and Alex J. Smola
Advances in Neural Information Processing Systems 17, 2004


Second Order Cone Programming Formulations for Feature Selection
Chiranjib Bhattacharyya
Journal of Machine Learning Research, 2004


A Robust Minimax Approach to Classification
Gert Lanckriet, Laurent E. Ghaoui, Chiranjib Bhattacharyya and Michael I. Jordan
Journal of Machine Learning Research, 2002


Minimax Probability Machine
Gert Lanckriet, Laurent E. Ghaoui, Chiranjib Bhattacharyya and Michael I. Jordan
Advances in Neural Information Processing Systems 14, 2001