Inderjit S. Dhillon
Inderjit S. Dhillon
Vice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT Austin
Verified email at - Homepage
Cited by
Cited by
Information-theoretic metric learning
JV Davis, B Kulis, P Jain, S Sra, IS Dhillon
Proceedings of the 24th international conference on Machine learning, 209-216, 2007
ScaLAPACK users' guide
LS Blackford, J Choi, A Cleary, E D'Azevedo, J Demmel, I Dhillon, ...
Society for Industrial and Applied Mathematics, 1997
Co-clustering documents and words using bipartite spectral graph partitioning
IS Dhillon
Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001
Clustering with Bregman divergences.
A Banerjee, S Merugu, IS Dhillon, J Ghosh, J Lafferty
Journal of machine learning research 6 (10), 2005
Clustering with Bregman Divergences
ID Banerjee, Arindam: Srujana Merugu, J Ghosh
Proceedings of the fourth SIAM international conference on data mining, 234, 2004
Concept decompositions for large sparse text data using clustering
IS Dhillon, DS Modha
Machine learning 42 (1), 143-175, 2001
Information-theoretic co-clustering
IS Dhillon, S Mallela, DS Modha
Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003
Kernel k-means: spectral clustering and normalized cuts
IS Dhillon, Y Guan, B Kulis
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
Weighted graph cuts without eigenvectors a multilevel approach
IS Dhillon, Y Guan, B Kulis
IEEE transactions on pattern analysis and machine intelligence 29 (11), 1944 …, 2007
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions.
A Banerjee, IS Dhillon, J Ghosh, S Sra, G Ridgeway
Journal of Machine Learning Research 6 (9), 2005
Learning with noisy labels
N Natarajan, IS Dhillon, PK Ravikumar, A Tewari
Advances in neural information processing systems 26, 1196-1204, 2013
A divisive information theoretic feature clustering algorithm for text classification
IS Dhillon, S Mallela, R Kumar
The Journal of machine learning research 3, 1265-1287, 2003
Optimization for machine learning
S Sra, S Nowozin, SJ Wright
Mit Press, 2012
Handbook of linear algebra
L Hogben
CRC press, 2006
Semi-supervised graph clustering: a kernel approach
B Kulis, S Basu, I Dhillon, R Mooney
Machine learning 74 (1), 1-22, 2009
A data-clustering algorithm on distributed memory multiprocessors
IS Dhillon, DS Modha
Large-scale parallel data mining, 245-260, 2002
Guaranteed rank minimization via singular value projection
R Meka, P Jain, IS Dhillon
arXiv preprint arXiv:0909.5457, 2009
Generalized nonnegative matrix approximations with Bregman divergences
IS Dhillon, S Sra
NIPS 18, 2005
A generalized maximum entropy approach to Bregman co-clustering and matrix approximation
A Banerjee, I Dhillon, J Ghosh, S Merugu, DS Modha
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
Designing structured tight frames via an alternating projection method
JA Tropp, IS Dhillon, RW Heath, T Strohmer
IEEE Transactions on information theory 51 (1), 188-209, 2005
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