Inderjit S. Dhillon

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Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Hsiang-Fu YuPrincipal Applied Scientist at AmazonVerified email at cs.utexas.edu
Prateek JainGoogle Research IndiaVerified email at google.com
Suvrit SraTUM and MITVerified email at mit.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Brian KulisAssociate Professor at Boston University & Amazon ScholarVerified email at bu.edu
James W DEMMELProfessor of EECS and Mathematics, UC BerkeleyVerified email at berkeley.edu
Nagarajan NatarajanResearcher, Microsoft Research IndiaVerified email at microsoft.com
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsVerified email at utexas.edu
Jack DongarraUniversity of Tennessee; Oak Ridge National Laboratory; University of ManchesterVerified email at icl.utk.edu
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Kai ZhongApplied Scientist, AmazonVerified email at amazon.com
Dharmendra ModhaIBM FellowVerified email at us.ibm.com
R. Clint WhaleyLSUVerified email at lsu.edu
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of MichiganVerified email at umich.edu
Si SiGoogle ResearchVerified email at google.com
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechVerified email at caltech.edu
Sven HammarlingSenior Honorary Research Fellow, U. of Manchester, Dept. of MathematicsVerified email at manchester.ac.uk
Joyce Jiyoung WhangAssociate Professor, KAISTVerified email at kaist.ac.kr
Matyas A SustikUniversity of Texas at AustinVerified email at cs.utexas.edu

Inderjit S. Dhillon

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

Verified email at cs.utexas.edu - Homepage

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


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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	2665	2007
ScaLAPACK users' guide LS Blackford, J Choi, A Cleary, E D'Azevedo, J Demmel, I Dhillon, ... Society for Industrial and Applied Mathematics, 1997	2454	1997
Co-clustering documents and words using bipartite spectral graph partitioning IS Dhillon Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	2398	2001
Clustering with Bregman Divergences ID Banerjee, Arindam: Srujana Merugu, J Ghosh Proceedings of the fourth SIAM international conference on data mining, 234, 2004	2199*	2004
Concept decompositions for large sparse text data using clustering IS Dhillon, DS Modha Machine learning 42, 143-175, 2001	1992	2001
Information-theoretic co-clustering IS Dhillon, S Mallela, DS Modha Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	1776	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	1688	2004
Learning with noisy labels N Natarajan, IS Dhillon, PK Ravikumar, A Tewari Advances in neural information processing systems 26, 2013	1393	2013
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	1334	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	1204	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	815	2018
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	728	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	673	2005
Generalized nonnegative matrix approximations with Bregman divergences S Sra, I Dhillon Advances in neural information processing systems 18, 2005	657	2005
A data-clustering algorithm on distributed memory multiprocessors IS Dhillon, DS Modha Large-scale parallel data mining, 245-260, 2002	641	2002
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	594	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	590	2004
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	577	2014
Guaranteed rank minimization via singular value projection P Jain, R Meka, I Dhillon Advances in Neural Information Processing Systems 23, 2010	575	2010
Temporal regularized matrix factorization for high-dimensional time series prediction HF Yu, N Rao, IS Dhillon Advances in neural information processing systems 29, 2016	572	2016

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