Inderjit S. Dhillon

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Suvrit SraMITVerified email at mit.edu
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Pradeep RavikumarAssociate Professor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Prateek JainMicrosoft Research IndiaVerified email at microsoft.com
Brian KulisAssociate Professor, Boston UniversityVerified email at bu.edu
James W DEMMELProfessor of EECS and Mathematics, UC BerkeleyVerified email at berkeley.edu
Hsiang-Fu YuComputer Science, University of Texas at AustinVerified email at cs.utexas.edu
Jack DongarraUniversity of Tennessee; Oak Ridge National Laboratory; University of ManchesterVerified email at icl.utk.edu
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. of Texas at Austin; Faculty Dell Med, UTCS, McCombs, UT-BMEVerified email at utexas.edu
Nagarajan NatarajanResearcher, Microsoft Research IndiaVerified email at microsoft.com
Yuqiang GuanWaymoVerified email at google.com
R. Clint WhaleyLSUVerified email at lsu.edu
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Dharmendra ModhaIBM FellowVerified email at us.ibm.com
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechVerified email at caltech.edu
Kai ZhongApplied Scientist, AmazonVerified email at amazon.com
Sven HammarlingSen. Hon. Res. Fellow , U. of Manchester, Dept. of Mathematics; Hon. Principal Consultant, NAG Ltd.Verified email at manchester.ac.uk
Ambuj Tewari | अम्बुज तिवारीAssociate Professor, Department of Statistics and Department of EECS, University of MichiganVerified email at umich.edu
Si SiGoogle ResearchVerified email at google.com
Matyas A SustikUniversity of Texas at AustinVerified email at cs.utexas.edu

Inderjit S. Dhillon

Vice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT Austin

Verified email at cs.utexas.edu - Homepage

Machine Learning Deep Learning Big Data Analytics Numerical Linear Algebra Computational Mathematics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	2346	2007
ScaLAPACK users' guide LS Blackford, J Choi, A Cleary, E D'Azevedo, J Demmel, I Dhillon, ... Society for Industrial and Applied Mathematics, 1997	2185	1997
Co-clustering documents and words using bipartite spectral graph partitioning IS Dhillon Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	2057	2001
Clustering with Bregman divergences. A Banerjee, S Merugu, IS Dhillon, J Ghosh, J Lafferty Journal of machine learning research 6 (10), 2005	1751	2005
Clustering with Bregman Divergences ID Banerjee, Arindam: Srujana Merugu, J Ghosh Proceedings of the fourth SIAM international conference on data mining, 234, 2004	1751*	2004
Concept decompositions for large sparse text data using clustering IS Dhillon, DS Modha Machine learning 42 (1), 143-175, 2001	1750	2001
Information-theoretic co-clustering IS Dhillon, S Mallela, DS Modha Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	1592	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	1318	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	994	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	877	2005
Learning with noisy labels. N Natarajan, IS Dhillon, P Ravikumar, A Tewari NIPS 26, 1196-1204, 2013	686	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	669	2003
Handbook of linear algebra L Hogben CRC press, 2006	610	2006
Semi-supervised graph clustering: a kernel approach B Kulis, S Basu, I Dhillon, R Mooney Machine learning 74 (1), 1-22, 2009	606	2009
A data-clustering algorithm on distributed memory multiprocessors IS Dhillon, DS Modha Large-scale parallel data mining, 245-260, 2002	577	2002
Optimization for machine learning S Sra, S Nowozin, SJ Wright Mit Press, 2012	560	2012
Guaranteed rank minimization via singular value projection R Meka, P Jain, IS Dhillon arXiv preprint arXiv:0909.5457, 2009	521	2009
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	516	2004
Generalized nonnegative matrix approximations with Bregman divergences IS Dhillon, S Sra NIPS 18, 2005	501	2005
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	449	2005

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