Arindam Banerjee

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2011
48Emerging topic detection using dictionary learning. Shiva Prasad Kasiviswanathan, Prem Melville, Arindam Banerjee, Vikas Sindhwani. CIKM 2011, 745-754. Web SearchBibTeXDownload
47Mixed-membership naive Bayes models. Hanhuai Shan, Arindam Banerjee. Data Min. Knowl. Discov. (23): 1-62 (2011). Web SearchBibTeXDownload
46Efficient similarity search for covariance matrices via the Jensen-Bregman LogDet Divergence. Anoop Cherian, Suvrit Sra, Arindam Banerjee, Nikolaos Papanikolopoulos. ICCV 2011, 2399-2406. Web SearchBibTeXDownload
45Sparse Group Lasso for Regression on Land Climate Variables. Soumyadeep Chatterjee, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly. ICDM Workshops 2011, 1-8. Web SearchBibTeXDownload
44Probabilistic Matrix Addition. Amrudin Agovic, Arindam Banerjee, Snigdhansu Chatterjee. ICML 2011, 1025-1032. Web SearchBibTeX
43Meta optimization and its application to portfolio selection. Puja Das, Arindam Banerjee. KDD 2011, 1163-1171. Web SearchBibTeXDownload
42Common component analysis for multiple covariance matrices. Huahua Wang, Arindam Banerjee, Daniel Boley. KDD 2011, 956-964. Web SearchBibTeXDownload
41Bayesian cluster ensembles. Hongjun Wang, Hanhuai Shan, Arindam Banerjee. Statistical Analysis and Data Mining (4): 54-70 (2011). Web SearchBibTeXDownload
2010
40Analyzing Aviation Safety Reports: From Topic Modeling to Scalable Multi-Label Classification. Amrudin Agovic, Hanhuai Shan, Arindam Banerjee. CIDU 2010, 83-97. Web SearchBibTeXDownload
39Model-Based Clustering. Arindam Banerjee, Hanhuai Shan. Encyclopedia of Machine Learning 2010, 686-689. Web SearchBibTeXDownload
38Sparsity-cognizant overlapping co-clustering for behavior inference in social networks. Hao Zhu, Gonzalo Mateos, Georgios B. Giannakis, Nicholas D. Sidiropoulos, Arindam Banerjee. ICASSP 2010, 3534-3537. Web SearchBibTeXDownload
37Generalized Probabilistic Matrix Factorizations for Collaborative Filtering. Hanhuai Shan, Arindam Banerjee. ICDM 2010, 1025-1030. Web SearchBibTeXDownload
36A Generalized Linear Threshold Model for Multiple Cascades. Nishith Pathak, Arindam Banerjee, Jaideep Srivastava. ICDM 2010, 965-970. Web SearchBibTeXDownload
35Keep It Simple with Time: A Reexamination of Probabilistic Topic Detection Models. Qi He, Kuiyu Chang, Ee-Peng Lim, Arindam Banerjee. IEEE Trans. Pattern Anal. Mach. Intell. (32): 1795-1808 (2010). Web SearchBibTeXDownload
34Residual Bayesian Co-clustering for Matrix Approximation. Hanhuai Shan, Arindam Banerjee. SDM 2010, 223-234. Web SearchBibTeXDownload
33Gaussian Process Topic Models. Amrudin Agovic, Arindam Banerjee. UAI 2010, 10-19. Web SearchBibTeXDownload
2009
32Semi-supervised learning of user-preferred travel schedules. Amrudin Agovic, Maria L. Gini, Arindam Banerjee. AAMAS (2) 2009, 1151-1152. Web SearchBibTeXDownload
31Anomaly detection: A survey. Varun Chandola, Arindam Banerjee, Vipin Kumar. ACM Comput. Surv. (41) (2009). Cited by 34Web SearchBibTeXDownload
30Approximation Algorithms for Tensor Clustering. Stefanie Jegelka, Suvrit Sra, Arindam Banerjee. ALT 2009, 368-383. Web SearchBibTeXDownload
29Discriminative Mixed-Membership Models. Hanhuai Shan, Arindam Banerjee, Nikunj C. Oza. ICDM 2009, 466-475. Web SearchBibTeXDownload
28Bayesian Overlapping Subspace Clustering. Qiang Fu, Arindam Banerjee. ICDM 2009, 776-781. Web SearchBibTeXDownload
27Anomaly detection using manifold embedding and its applications in transportation corridors. Amrudin Agovic, Arindam Banerjee, Auroop R. Ganguly, Vladimir Protopopescu. Intell. Data Anal. (13): 435-455 (2009). Web SearchBibTeXDownload
26Bayesian Cluster Ensembles. Hongjun Wang, Hanhuai Shan, Arindam Banerjee. SDM 2009, 209-220. Web SearchBibTeXDownload
2008
25Approximation Algorithms for Bregman Co-clustering and Tensor Clustering. Stefanie Jegelka, Suvrit Sra, Arindam Banerjee. CoRR (abs/0812.0389) (2008). Web SearchBibTeXDownload
24Bayesian Co-clustering. Hanhuai Shan, Arindam Banerjee. ICDM 2008, 530-539. Web SearchBibTeXDownload
23Multiplicative Mixture Models for Overlapping Clustering. Qiang Fu, Arindam Banerjee. ICDM 2008, 791-796. Web SearchBibTeXDownload
22I/O Scalable Bregman Co-clustering. Kuo-Wei Hsu, Arindam Banerjee, Jaideep Srivastava. PAKDD 2008, 896-903. Web SearchBibTeXDownload
2007
21Latent Dirichlet Conditional Naive-Bayes Models. Arindam Banerjee, Hanhuai Shan. ICDM 2007, 421-426. Web SearchBibTeXDownload
20A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha. Journal of Machine Learning Research (8): 1919-1986 (2007). Web SearchBibTeXDownload
19An Analysis of Logistic Models: Exponential Family Connections and Online Performance. Arindam Banerjee. SDM 2007. Web SearchBibTeXDownload
18Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning. Arindam Banerjee, Sugato Basu. SDM 2007. Web SearchBibTeXDownload
17Multi-way Clustering on Relation Graphs. Arindam Banerjee, Sugato Basu, Srujana Merugu. SDM 2007. Web SearchBibTeXDownload
2006
16Scalable Clustering Algorithms with Balancing Constraints. Arindam Banerjee, Joydeep Ghosh. Data Min. Knowl. Discov. (13): 365-395 (2006). Web SearchBibTeXDownload
15On Bayesian bounds. Arindam Banerjee. ICML 2006, 81-88. Web SearchBibTeXDownload
14A clustering based approach to perceptual image hashing. Vishal Monga, Arindam Banerjee, Brian L. Evans. IEEE Transactions on Information Forensics and Security (1): 68-79 (2006). Web SearchBibTeXDownload
2005
13On the optimality of conditional expectation as a Bregman predictor. Arindam Banerjee, Xin Guo, Hui Wang. IEEE Transactions on Information Theory (51): 2664-2669 (2005). Web SearchBibTeXDownload
12Clustering on the Unit Hypersphere using von Mises-Fisher Distributions. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra. Journal of Machine Learning Research (6): 1345-1382 (2005). Web SearchBibTeXDownload
11Clustering with Bregman Divergences. Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh. Journal of Machine Learning Research (6): 1705-1749 (2005). Web SearchBibTeXDownload
10Model-based overlapping clustering. Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney. KDD 2005, 532-537. Web SearchBibTeXDownload
2004
9An information theoretic analysis of maximum likelihood mixture estimation for exponential families. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu. ICML 2004. Web SearchBibTeXDownload
8Frequency-sensitive competitive learning for scalable balanced clustering on high-dimensional hyperspheres. Arindam Banerjee, Joydeep Ghosh. IEEE Transactions on Neural Networks (15): 702-719 (2004). Web SearchBibTeXDownload
7An objective evaluation criterion for clustering. Arindam Banerjee, John Langford. KDD 2004, 515-520. Web SearchBibTeXDownload
6A generalized maximum entropy approach to bregman co-clustering and matrix approximation. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha. KDD 2004, 509-514. Web SearchBibTeXDownload
5Active Semi-Supervision for Pairwise Constrained Clustering. Sugato Basu, Arindam Banerjee, Raymond J. Mooney. SDM 2004. Web SearchBibTeXDownload
4Clustering with Bregman Divergences. Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh. SDM 2004. Web SearchBibTeXDownload
2003
3Generative model-based clustering of directional data. Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra. KDD 2003, 19-28. Web SearchBibTeXDownload
2002
2Semi-supervised Clustering by Seeding. Sugato Basu, Arindam Banerjee, Raymond J. Mooney. ICML 2002, 27-34. Web SearchBibTeX
1On Scaling Up Balanced Clustering Algorithms. Arindam Banerjee, Joydeep Ghosh. SDM 2002. Web SearchBibTeXDownload
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References
1. ^ KDD 2008: Research Track Program Committee - Retrieved 2009-11-21 - details
2. ^ UT-Austin Data Mining Seminar Schedule Abstracts - Retrieved 2010-09-28 - details
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