Inderjit S. Dhillon

	2012
79		Prateek Jain, Brian Kulis, Jason V. Davis, Inderjit S. Dhillon: Metric and Kernel Learning Using a Linear Transformation. Journal of Machine Learning Research 13: 519-547 (2012)
	2011
78		Kai-Yang Chiang, Nagarajan Natarajan, Ambuj Tewari, Inderjit S. Dhillon: Exploiting longer cycles for link prediction in signed networks. CIKM 2011: 1157-1162
77		Cho-Jui Hsieh, Inderjit S. Dhillon: Fast coordinate descent methods with variable selection for non-negative matrix factorization. KDD 2011: 1064-1072
76		Prateek Jain, Ambuj Tewari, Inderjit S. Dhillon: Orthogonal Matching Pursuit with Replacement. NIPS 2011: 1215-1223
75		Inderjit S. Dhillon, Pradeep D. Ravikumar, Ambuj Tewari: Nearest Neighbor based Greedy Coordinate Descent. NIPS 2011: 2160-2168
74		Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep D. Ravikumar: Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation. NIPS 2011: 2330-2338
73		Ambuj Tewari, Pradeep D. Ravikumar, Inderjit S. Dhillon: Greedy Algorithms for Structurally Constrained High Dimensional Problems. NIPS 2011: 882-890
72		Berkant Savas, Inderjit S. Dhillon: Clustered low rank approximation of graphs in information science applications. SDM 2011: 164-175
71		Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Berkant Savas, Inderjit S. Dhillon: Scalable Affiliation Recommendation using Auxiliary Networks. ACM TIST 3(1): 3 (2011)
70		Prateek Jain, Ambuj Tewari, Inderjit S. Dhillon: Orthogonal Matching Pursuit with Replacement CoRR abs/1106.2774: (2011)
69		Alexandre d'Aspremont, Francis R. Bach, Inderjit S. Dhillon, Bin Yu: Preface. Math. Program. 127(1): 1-2 (2011)
	2010
68		Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S. Dhillon: Supervised Link Prediction Using Multiple Sources. ICDM 2010: 923-928
67		Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon: A scalable trust-region algorithm with application to mixed-norm regression. ICML 2010: 519-526
66		Prateek Jain, Raghu Meka, Inderjit S. Dhillon: Guaranteed Rank Minimization via Singular Value Projection. NIPS 2010: 937-945
65		Prateek Jain, Brian Kulis, Inderjit S. Dhillon: Inductive Regularized Learning of Kernel Functions. NIPS 2010: 946-954
64		Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Inderjit S. Dhillon: Affiliation recommendation using auxiliary networks. RecSys 2010: 103-110
63		Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon: Tackling Box-Constrained Optimization via a New Projected Quasi-Newton Approach. SIAM J. Scientific Computing 32(6): 3548-3563 (2010)
	2009
62		Wei Tang, Zhengdong Lu, Inderjit S. Dhillon: Clustering with Multiple Graphs. ICDM 2009: 1016-1021
61		Meghana Deodhar, Gunjan Gupta, Joydeep Ghosh, Hyuk Cho, Inderjit S. Dhillon: A scalable framework for discovering coherent co-clusters in noisy data. ICML 2009: 31
60		Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon: Geometry-aware metric learning. ICML 2009: 85
59		Raghu Meka, Prateek Jain, Inderjit S. Dhillon: Matrix Completion from Power-Law Distributed Samples. NIPS 2009: 1258-1266
58		Zhengdong Lu, Deepak Agarwal, Inderjit S. Dhillon: A spatio-temporal approach to collaborative filtering. RecSys 2009: 13-20
57		Pavel Berkhin, Inderjit S. Dhillon: Knowledge Discovery: Clustering. Encyclopedia of Complexity and Systems Science 2009: 5051-5064
56		Raghu Meka, Prateek Jain, Inderjit S. Dhillon: Guaranteed Rank Minimization via Singular Value Projection CoRR abs/0909.5457: (2009)
55		Brian Kulis, Mátyás A. Sustik, Inderjit S. Dhillon: Low-Rank Kernel Learning with Bregman Matrix Divergences. Journal of Machine Learning Research 10: 341-376 (2009)
54		Brian Kulis, Suvrit Sra, Inderjit S. Dhillon: Convex Perturbations for Scalable Semidefinite Programming. Journal of Machine Learning Research - Proceedings Track 5: 296-303 (2009)
53		Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney: Semi-supervised graph clustering: a kernel approach. Machine Learning 74(1): 1-22 (2009)
	2008
52		Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk Cho, Inderjit S. Dhillon: Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets. ICDM Workshops 2008: 654-663
51		Raghu Meka, Prateek Jain, Constantine Caramanis, Inderjit S. Dhillon: Rank minimization via online learning. ICML 2008: 656-663
50		Jason V. Davis, Inderjit S. Dhillon: Structured metric learning for high dimensional problems. KDD 2008: 195-203
49		Prateek Jain, Brian Kulis, Inderjit S. Dhillon, Kristen Grauman: Online Metric Learning and Fast Similarity Search. NIPS 2008: 761-768
48		Prateek Jain, Raghu Meka, Inderjit S. Dhillon: Simultaneous Unsupervised Learning of Disparate Clusterings. SDM 2008: 858-869
47		Hyuk Cho, Inderjit S. Dhillon: Coclustering of Human Cancer Microarrays Using Minimum Sum-Squared Residue Coclustering. IEEE/ACM Trans. Comput. Biology Bioinform. 5(3): 385-400 (2008)
46		Justin Brickell, Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp: The Metric Nearness Problem. SIAM J. Matrix Analysis Applications 30(1): 375-396 (2008)
45		Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon: Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem. Statistical Analysis and Data Mining 1(1): 38-51 (2008)
44		Prateek Jain, Raghu Meka, Inderjit S. Dhillon: Simultaneous Unsupervised Learning of Disparate Clusterings. Statistical Analysis and Data Mining 1(3): 195-210 (2008)
	2007
43		Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, Inderjit S. Dhillon: Information-theoretic metric learning. ICML 2007: 209-216
42		Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon: Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem. SDM 2007
41		Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis: Weighted Graph Cuts without Eigenvectors A Multilevel Approach. IEEE Trans. Pattern Anal. Mach. Intell. 29(11): 1944-1957 (2007)
40		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)
39		Inderjit S. Dhillon, Joel A. Tropp: Matrix Nearness Problems with Bregman Divergences. SIAM J. Matrix Analysis Applications 29(4): 1120-1146 (2007)
	2006
38		Brian Kulis, Mátyás A. Sustik, Inderjit S. Dhillon: Learning low-rank kernel matrices. ICML 2006: 505-512
37		Jason V. Davis, Inderjit S. Dhillon: Estimating the global pagerank of web communities. KDD 2006: 116-125
36		Jason V. Davis, Inderjit S. Dhillon: Differential Entropic Clustering of Multivariate Gaussians. NIPS 2006: 337-344
35		Justin Brickell, Inderjit S. Dhillon, Dharmendra S. Modha: Adaptive Website Design Using Caching Algorithms. WEBKDD 2006: 1-20
34		Inderjit S. Dhillon, Beresford N. Parlett, Christof Vömel: The design and implementation of the MRRR algorithm. ACM Trans. Math. Softw. 32(4): 533-560 (2006)
	2005
33		Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Raymond J. Mooney: Semi-supervised graph clustering: a kernel approach. ICML 2005: 457-464
32		Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis: A fast kernel-based multilevel algorithm for graph clustering. KDD 2005: 629-634
31		Inderjit S. Dhillon, Suvrit Sra: Generalized Nonnegative Matrix Approximations with Bregman Divergences. NIPS 2005
30		Joel A. Tropp, Inderjit S. Dhillon, Robert W. Heath Jr., Thomas Strohmer: Designing structured tight frames via an alternating projection method. IEEE Transactions on Information Theory 51(1): 188-209 (2005)
29		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)
28		Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh: Clustering with Bregman Divergences. Journal of Machine Learning Research 6: 1705-1749 (2005)
27		Inderjit S. Dhillon, Robert W. Heath Jr., Mátyás A. Sustik, Joel A. Tropp: Generalized Finite Algorithms for Constructing Hermitian Matrices with Prescribed Diagonal and Spectrum. SIAM J. Matrix Analysis Applications 27(1): 61-71 (2005)
26		Paolo Bientinesi, Inderjit S. Dhillon, Robert A. van de Geijn: A Parallel Eigensolver for Dense Symmetric Matrices Based on Multiple Relatively Robust Representations. SIAM J. Scientific Computing 27(1): 43-66 (2005)
25		Inderjit S. Dhillon, Beresford N. Parlett, Christof Vömel: Glued Matrices and the MRRR Algorithm. SIAM J. Scientific Computing 27(2): 496-510 (2005)
	2004
24		Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu: An information theoretic analysis of maximum likelihood mixture estimation for exponential families. ICML 2004
23		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
22		Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis: Kernel k-means: spectral clustering and normalized cuts. KDD 2004: 551-556
21		Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp: Triangle Fixing Algorithms for the Metric Nearness Problem. NIPS 2004
20		Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh: Clustering with Bregman Divergences. SDM 2004
19		Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvrit Sra: Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data. SDM 2004
18		Joel A. Tropp, Inderjit S. Dhillon, Robert W. Heath Jr.: Finite-Step Algorithms for Constructing Optimal CDMA Signature Sequences. IEEE Transactions on Information Theory 50(11): 2916-2921 (2004)
	2003
17		Inderjit S. Dhillon, Yuqiang Guan: Information Theoretic Clustering of Sparse Co-Occurrence Data. ICDM 2003: 517-520
16		Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra: Generative model-based clustering of directional data. KDD 2003: 19-28
15		Inderjit S. Dhillon, Subramanyam Mallela, Dharmendra S. Modha: Information-theoretic co-clustering. KDD 2003: 89-98
14		Inderjit S. Dhillon, Edward M. Marcotte, Usman Roshan: Diametrical clustering for identifying anti-correlated gene clusters. Bioinformatics 19(13): 1612-1619 (2003)
13		Inderjit S. Dhillon, Subramanyam Mallela, Rahul Kumar: A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification. Journal of Machine Learning Research 3: 1265-1287 (2003)
12		Inderjit S. Dhillon, Beresford N. Parlett: Orthogonal Eigenvectors and Relative Gaps. SIAM J. Matrix Analysis Applications 25(3): 858-899 (2003)
	2002
11		Inderjit S. Dhillon, Yuqiang Guan, Jacob Kogan: Iterative Clustering of High Dimensional Text Data Augmented by Local Search. ICDM 2002: 131-138
10		Inderjit S. Dhillon, Subramanyam Mallela, Rahul Kumar: Enhanced word clustering for hierarchical text classification. KDD 2002: 191-200
9		Inderjit S. Dhillon, Dharmendra S. Modha, W. Scott Spangler: Class visualization of high-dimensional data with applications. Computational Statistics & Data Analysis 41(1): 59-90 (2002)
	2001
8		Inderjit S. Dhillon: Co-clustering documents and words using bipartite spectral graph partitioning. KDD 2001: 269-274
7		Inderjit S. Dhillon, Dharmendra S. Modha: Concept Decompositions for Large Sparse Text Data Using Clustering. Machine Learning 42(1/2): 143-175 (2001)
	1999
6		Inderjit S. Dhillon, Dharmendra S. Modha: A Data-Clustering Algorithm on Distributed Memory Multiprocessors. Large-Scale Parallel Data Mining 1999: 245-260
	1997
5		Inderjit S. Dhillon, George Fann, Beresford N. Parlett: Application of a New Algorithm for the Symmetric Eigenproblem to Computational Quantum Chemistry. PPSC 1997
4		L. Susan Blackford, Jaeyoung Choi, Andrew J. Cleary, Eduardo F. D'Azevedo, James Demmel, Inderjit S. Dhillon, Jack Dongarra, Sven Hammarling, Greg Henry, Antoine Petitet, Ken Stanley, David W. Walker, R. Clinton Whaley: ScaLAPACK: A Linear Algebra Library for Message-Passing Computers. PPSC 1997
3		L. Susan Blackford, Andrew J. Cleary, Antoine Petitet, R. Clinton Whaley, James Demmel, Inderjit S. Dhillon, H. Ren, Ken Stanley, Jack Dongarra, Sven Hammarling: Practical Experience in the Numerical Dangers of Heterogeneous Computing. ACM Trans. Math. Softw. 23(2): 133-147 (1997)
	1996
2		Andrew J. Cleary, James Demmel, Inderjit S. Dhillon, Jack Dongarra, Sven Hammarling, Antoine Petitet, H. Ren, Ken Stanley, R. Clinton Whaley: Practical Experience in the Dangers of Heterogeneous Computing. PARA 1996: 57-64
	1995
1		Jaeyoung Choi, James Demmel, Inderjit S. Dhillon, Jack Dongarra, Susan Ostrouchov, Antoine Petitet, Ken Stanley, David W. Walker, R. Clinton Whaley: ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance. PARA 1995: 95-106

Coauthor Index

1	Deepak Agarwal	[58]
2	Francis R. Bach (Francis Bach)	[69]
3	Arindam Banerjee	[16] [20] [23] [24] [28] [29] [40]
4	Sugato Basu	[33] [53]
5	Pavel Berkhin	[57]
6	Paolo Bientinesi	[26]
7	L. Susan Blackford	[3] [4]
8	Justin Brickell	[35] [46]
9	Constantine Caramanis	[51]
10	Kai-Yang Chiang	[78]
11	Hyuk Cho	[19] [47] [52] [61]
12	Jaeyoung Choi	[1] [4]
13	Andrew J. Cleary	[2] [3] [4]
14	Eduardo F. D'Azevedo	[4]
15	Jason V. Davis	[36] [37] [43] [50] [79]
16	James Demmel	[1] [2] [3] [4]
17	Meghana Deodhar	[52] [61]
18	Jack Dongarra (Jack J. Dongarra)	[1] [2] [3] [4]
19	George Fann	[5]
20	Robert A. van de Geijn	[26]
21	Joydeep Ghosh	[16] [20] [23] [24] [28] [29] [40] [52] [61]
22	Kristen Grauman	[49]
23	Yuqiang Guan	[11] [17] [19] [22] [32] [41]
24	Gunjan Gupta	[52] [61]
25	Sven Hammarling	[2] [3] [4]
26	Robert W. Heath Jr.	[18] [27] [30]
27	Greg Henry	[4]
28	Cho-Jui Hsieh	[74] [77]
29	Prateek Jain	[43] [44] [48] [49] [51] [56] [59] [60] [65] [66] [70] [76] [79]
30	Dongmin Kim	[42] [45] [63] [67]
31	Jacob Kogan	[11]
32	Brian Kulis	[22] [32] [33] [38] [41] [43] [49] [53] [54] [55] [65] [79]
33	Rahul Kumar	[10] [13]
34	Zhengdong Lu	[58] [60] [62] [64] [68] [71]
35	Subramanyam Mallela	[10] [13] [15]
36	Edward M. Marcotte	[14]
37	Raghu Meka	[44] [48] [51] [56] [59] [66]
38	Srujana Merugu	[20] [23] [24] [28] [40]
39	Dharmendra S. Modha	[6] [7] [9] [15] [23] [35] [40]
40	Raymond J. Mooney	[33] [53]
41	Nagarajan Natarajan	[64] [71] [78]
42	Susan Ostrouchov	[1]
43	Beresford N. Parlett	[5] [12] [25] [34]
44	Antoine Petitet	[1] [2] [3] [4]
45	Pradeep D. Ravikumar	[73] [74] [75]
46	H. Ren	[2] [3]
47	Usman Roshan	[14]
48	Berkant Savas	[68] [71] [72]
49	W. Scott Spangler	[9]
50	Suvrit Sra	[16] [19] [21] [29] [31] [42] [43] [45] [46] [54] [63] [67]
51	Ken Stanley	[1] [2] [3] [4]
52	Thomas Strohmer	[30]
53	Mátyás A. Sustik	[27] [38] [55] [74]
54	Wei Tang	[62] [68]
55	Ambuj Tewari	[70] [73] [75] [76] [78]
56	Joel A. Tropp	[18] [21] [27] [30] [39] [46]
57	Vishvas Vasuki	[64] [71]
58	Christof Vömel	[25] [34]
59	David W. Walker	[1] [4]
60	R. Clinton Whaley	[1] [2] [3] [4]
61	Bin Yu	[69]
62	Alexandre d'Aspremont	[69]

Colors in the list of coauthors

Last update Tue May 29 01:28:40 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page