Inderjit S. Dhillon

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Cho-Jui HsiehUniversity of California, Los AngelesEmail verificata su cs.ucla.edu
Hsiang-Fu YuComputer Science, University of Texas at AustinEmail verificata su cs.utexas.edu
Suvrit SraMITEmail verificata su mit.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityEmail verificata su cs.cmu.edu
Prateek JainGoogle Research IndiaEmail verificata su google.com
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. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsEmail verificata su utexas.edu
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
Kai ZhongApplied Scientist, AmazonEmail verificata su amazon.com
R. Clint WhaleyLSUEmail verificata su lsu.edu
Dharmendra ModhaIBM FellowEmail verificata su us.ibm.com
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechEmail verificata su caltech.edu
Sven HammarlingSenior Honorary Research Fellow, U. of Manchester, Dept. of MathematicsEmail verificata su manchester.ac.uk
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and 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
Matyas A SustikUniversity of Texas at AustinEmail verificata su cs.utexas.edu

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Inderjit S. Dhillon

Distinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at Amazon

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	2550	2007
ScaLAPACK users' guide LS Blackford, J Choi, A Cleary, E D'Azevedo, J Demmel, I Dhillon, ... Society for Industrial and Applied Mathematics, 1997	2299	1997
Co-clustering documents and words using bipartite spectral graph partitioning IS Dhillon Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	2233	2001
Clustering with Bregman divergences. A Banerjee, S Merugu, IS Dhillon, J Ghosh, J Lafferty Journal of machine learning research 6 (10), 2005	2012	2005
Clustering with Bregman Divergences ID Banerjee, Arindam: Srujana Merugu, J Ghosh Proceedings of the fourth SIAM international conference on data mining, 234, 2004	2012*	2004
Concept decompositions for large sparse text data using clustering IS Dhillon, DS Modha Machine learning 42, 143-175, 2001	1881	2001
Information-theoretic co-clustering IS Dhillon, S Mallela, DS Modha Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	1697	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	1511	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	1174	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	1035	2005
Learning with noisy labels N Natarajan, IS Dhillon, PK Ravikumar, A Tewari Advances in neural information processing systems 26, 2013	1030	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	701	2003
Semi-supervised graph clustering: a kernel approach B Kulis, S Basu, I Dhillon, R Mooney Proceedings of the 22nd international conference on machine learning, 457-464, 2005	642	2005
A data-clustering algorithm on distributed memory multiprocessors IS Dhillon, DS Modha Large-scale parallel data mining, 245-260, 2002	612	2002
Generalized nonnegative matrix approximations with Bregman divergences S Sra, I Dhillon Advances in neural information processing systems 18, 2005	588	2005
Towards fast computation of certified robustness for relu networks L Weng, H Zhang, H Chen, Z Song, CJ Hsieh, L Daniel, D Boning, ... International Conference on Machine Learning, 5276-5285, 2018	584	2018
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	561	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	534	2005
Guaranteed rank minimization via singular value projection P Jain, R Meka, I Dhillon Advances in Neural Information Processing Systems 23, 2010	521	2010
Large-scale Multi-label Learning with Missing Labels HF Yu, P Jain, IS Dhillon Proceedings of The 31st International Conference on Machine Learning, 593-601, 2014	491	2014

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