Arindam Banerjee

University of Minnesota, Twin Cities

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

Coauthor Index

1	Amrudin Agovic	[26] [32] [35] [40] [45]
2	Sugato Basu	[2] [6] [13] [18] [19]
3	Daniel Boley	[43]
4	Varun Chandola	[27]
5	Kuiyu Chang	[33]
6	Snigdhansu Chatterjee	[45] [46]
7	Soumyadeep Chatterjee	[46]
8	Anoop Cherian	[47]
9	Puja Das	[44]
10	Inderjit S. Dhillon	[3] [5] [8] [9] [10] [11] [17]
11	Brian L. Evans	[14]
12	Qiang Fu	[24] [29]
13	Auroop R. Ganguly	[26] [46]
14	Joydeep Ghosh	[1] [3] [4] [5] [8] [9] [10] [11] [13] [15] [17]
15	Georgios B. Giannakis	[39]
16	Maria L. Gini	[32]
17	Xin Guo	[12]
18	Qi He	[33]
19	Kuo-Wei Hsu	[23]
20	Stefanie Jegelka	[22] [31]
21	Shiva Prasad Kasiviswanathan	[48]
22	Chase Krumpelman	[13]
23	Vipin Kumar	[27]
24	John Langford	[7]
25	Ee-Peng Lim	[33]
26	Gonzalo Mateos	[39]
27	Prem Melville	[48]
28	Srujana Merugu	[5] [8] [9] [10] [17] [19]
29	Dharmendra S. Modha	[8] [17]
30	Vishal Monga	[14]
31	Raymond J. Mooney	[2] [6] [13]
32	Nikunj C. Oza	[30]
33	Nikolaos Papanikolopoulos (Nikolaos P. Papanikolopoulos)	[47]
34	Nishith Pathak	[37]
35	Vladimir Protopopescu	[26]
36	Hanhuai Shan	[21] [25] [28] [30] [34] [36] [38] [40] [41] [42]
37	Nikos D. Sidiropoulos (Nikolas D. Sidiropoulos, Nicholas D. Sidiropoulos, Nikolaos Sidiropoulos)	[39]
38	Vikas Sindhwani	[48]
39	Suvrit Sra	[3] [11] [22] [31] [47]
40	Jaideep Srivastava	[23] [37]
41	Hongjun Wang	[28] [41]
42	Huahua Wang	[43]
43	Hui Wang	[12]
44	Hao Zhu	[39]

Colors in the list of coauthors

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