Inderjit S. Dhillon

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Cho-Jui HsiehUniversity of California, Los AngelesEmail verificata su cs.ucla.edu
Suvrit SraMITEmail verificata su mit.edu
Pradeep RavikumarAssociate Professor, School of Computer Science, Carnegie Mellon UniversityEmail verificata su cs.cmu.edu
Prateek JainMicrosoft Research IndiaEmail verificata su microsoft.com
Hsiang-Fu YuComputer Science, University of Texas at AustinEmail verificata su cs.utexas.edu
Brian KulisAssociate Professor at Boston University & Amazon ScholarEmail verificata su bu.edu
James W DEMMELProfessor of EECS and Mathematics, UC BerkeleyEmail verificata su berkeley.edu
Jack DongarraUniversity of Tennessee; Oak Ridge National Laboratory; University of ManchesterEmail verificata su icl.utk.edu
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. of Texas at Austin; Faculty Dell Med, UTCS, McCombs, UT-BMEEmail verificata su utexas.edu
Yuqiang GuanWaymoEmail verificata su google.com
Nagarajan NatarajanResearcher, Microsoft Research IndiaEmail verificata su microsoft.com
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignEmail verificata su illinois.edu
R. Clint WhaleyLSUEmail verificata su lsu.edu
Dharmendra ModhaIBM FellowEmail verificata su us.ibm.com
Kai ZhongApplied Scientist, AmazonEmail verificata su amazon.com
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechEmail verificata su caltech.edu
Sven HammarlingSen. Hon. Res. Fellow , U. of Manchester, Dept. of Mathematics; Hon. Principal Consultant, NAG Ltd.Email verificata su manchester.ac.uk
Ambuj Tewari | अम्बुज तिवारीAssociate Professor, Department of Statistics and Department of EECS, University of MichiganEmail verificata su umich.edu
Si SiGoogle ResearchEmail verificata su google.com
Joyce Jiyoung WhangAssistant Professor, KAISTEmail verificata su kaist.ac.kr

Inderjit S. Dhillon

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

Email verificata su cs.utexas.edu - Home page

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


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	2392	2007
ScaLAPACK users' guide LS Blackford, J Choi, A Cleary, E D'Azevedo, J Demmel, I Dhillon, ... Society for Industrial and Applied Mathematics, 1997	2233	1997
Co-clustering documents and words using bipartite spectral graph partitioning IS Dhillon Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	2094	2001
Clustering with Bregman divergences. A Banerjee, S Merugu, IS Dhillon, J Ghosh, J Lafferty Journal of machine learning research 6 (10), 2005	1809	2005
Clustering with Bregman Divergences ID Banerjee, Arindam: Srujana Merugu, J Ghosh Proceedings of the fourth SIAM international conference on data mining, 234, 2004	1809*	2004
Concept decompositions for large sparse text data using clustering IS Dhillon, DS Modha Machine learning 42 (1), 143-175, 2001	1787	2001
Information-theoretic co-clustering IS Dhillon, S Mallela, DS Modha Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	1620	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	1357	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	1019	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	909	2005
Learning with noisy labels N Natarajan, IS Dhillon, PK Ravikumar, A Tewari Advances in neural information processing systems 26, 1196-1204, 2013	763	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	685	2003
Handbook of linear algebra L Hogben CRC press, 2006	632	2006
Semi-supervised graph clustering: a kernel approach B Kulis, S Basu, I Dhillon, R Mooney Machine learning 74 (1), 1-22, 2009	616	2009
Optimization for machine learning S Sra, S Nowozin, SJ Wright Mit Press, 2012	605	2012
A data-clustering algorithm on distributed memory multiprocessors IS Dhillon, DS Modha Large-scale parallel data mining, 245-260, 2002	582	2002
Guaranteed rank minimization via singular value projection R Meka, P Jain, IS Dhillon arXiv preprint arXiv:0909.5457, 2009	540	2009
Generalized nonnegative matrix approximations with Bregman divergences IS Dhillon, S Sra NIPS 18, 2005	523	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	520	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	459	2005

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