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All publications by Arindam Banerjee
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Unified View of Matrix Completion under General Structural Constraints
Suriya Gunasekar, Arindam Banerjee and Joydeep Ghosh
Advances in Neural Information Processing Systems 28, 2015


Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs
Vidyashankar Sivakumar, Arindam Banerjee and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 28, 2015


Structured Estimation with Atomic Norms: General Bounds and Applications
Sheng Chen and Arindam Banerjee
Advances in Neural Information Processing Systems 28, 2015


Bregman Alternating Direction Method of Multipliers
Huahua Wang and Arindam Banerjee
Advances in Neural Information Processing Systems 27, 2014


Estimation with Norm Regularization
Arindam Banerjee, Sheng Chen, Farideh Fazayeli and Vidyashankar Sivakumar
Advances in Neural Information Processing Systems 27, 2014


Generalized Dantzig Selector: Application to the k-support norm
Soumyadeep Chatterjee, Sheng Chen and Arindam Banerjee
Advances in Neural Information Processing Systems 27, 2014


Parallel Direction Method of Multipliers
Huahua Wang, Arindam Banerjee and Zhi-quan Luo
Advances in Neural Information Processing Systems 27, 2014


Large Scale Distributed Sparse Precision Estimation
Huahua Wang, Arindam Banerjee, Cho-jui Hsieh, Pradeep Ravikumar and Inderjit Dhillon
Advances in Neural Information Processing Systems 26, 2013


A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation
Cho-jui Hsieh, Arindam Banerjee, Inderjit S. Dhillon and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 25, 2012


Online L1-Dictionary Learning with Application to Novel Document Detection
Shiva P. Kasiviswanathan, Huahua Wang, Arindam Banerjee and Prem Melville
Advances in Neural Information Processing Systems 25, 2012


Online Alternating Direction Method
Huahua Wang and Arindam Banerjee
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Gap Filling in the Plant Kingdom---Trait Prediction Using Hierarchical Probabilistic Matrix Factorization
Hanhuai Shan, Jens Kattge, Peter Reich, Arindam Banerjee, Franziska Schrodt and Markus Reichstein
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Probabilistic Matrix Addition
Amrudin Agovic, Arindam Banerjee and Snigdhansu Chatterje
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu and Dharmendra S. Modha
Journal of Machine Learning Research, 2007


On Bayesian bounds
Arindam Banerjee
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Clustering with Bregman Divergences
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon and Joydeep Ghosh
Journal of Machine Learning Research, 2005


Clustering on the Unit Hypersphere using von Mises-Fisher Distributions
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh and Suvrit Sra
Journal of Machine Learning Research, 2005


An information theoretic analysis of maximum likelihood mixture estimation for exponential families
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh and Srujana Merugu
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004