Inderjit S. Dhillon

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Cho-Jui HsiehUniversity of California, Los Angeles確認したメールアドレス: cs.ucla.edu
Hsiang-Fu YuPrincipal Applied Scientist at Amazon確認したメールアドレス: cs.utexas.edu
Prateek JainGoogle Research India確認したメールアドレス: google.com
Suvrit SraTUM and MIT確認したメールアドレス: mit.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon University確認したメールアドレス: cs.cmu.edu
Brian KulisAssociate Professor at Boston University & Amazon Scholar確認したメールアドレス: bu.edu
James W DEMMELProfessor of EECS and Mathematics, UC Berkeley確認したメールアドレス: berkeley.edu
Nagarajan NatarajanResearcher, Microsoft Research India確認したメールアドレス: microsoft.com
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombs確認したメールアドレス: utexas.edu
Jack DongarraUniversity of Tennessee; Oak Ridge National Laboratory; University of Manchester確認したメールアドレス: icl.utk.edu
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-Champaign確認したメールアドレス: illinois.edu
Kai ZhongApplied Scientist, Amazon確認したメールアドレス: amazon.com
Dharmendra ModhaIBM Fellow確認したメールアドレス: us.ibm.com
R. Clint WhaleyLSU確認したメールアドレス: lsu.edu
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of Michigan確認したメールアドレス: umich.edu
Si SiGoogle Research確認したメールアドレス: google.com
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, Caltech確認したメールアドレス: caltech.edu
Sven HammarlingSenior Honorary Research Fellow, U. of Manchester, Dept. of Mathematics確認したメールアドレス: manchester.ac.uk
Joyce Jiyoung WhangAssociate Professor, KAIST確認したメールアドレス: kaist.ac.kr
Matyas A SustikUniversity of Texas at Austin確認したメールアドレス: cs.utexas.edu

フォロー

Inderjit S. Dhillon

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

確認したメールアドレス: cs.utexas.edu - ホームページ

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


タイトル引用回数順公開年順タイトル順	引用先引用先	年
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	2663	2007
ScaLAPACK users' guide LS Blackford, J Choi, A Cleary, E D'Azevedo, J Demmel, I Dhillon, ... Society for Industrial and Applied Mathematics, 1997	2452	1997
Co-clustering documents and words using bipartite spectral graph partitioning IS Dhillon Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	2396	2001
Clustering with Bregman Divergences ID Banerjee, Arindam: Srujana Merugu, J Ghosh Proceedings of the fourth SIAM international conference on data mining, 234, 2004	2196*	2004
Concept decompositions for large sparse text data using clustering IS Dhillon, DS Modha Machine learning 42, 143-175, 2001	1991	2001
Information-theoretic co-clustering IS Dhillon, S Mallela, DS Modha Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	1775	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	1686	2004
Learning with noisy labels N Natarajan, IS Dhillon, PK Ravikumar, A Tewari Advances in neural information processing systems 26, 2013	1387	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	1331	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	1201	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	809	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	671	2005
Generalized nonnegative matrix approximations with Bregman divergences S Sra, I Dhillon Advances in neural information processing systems 18, 2005	654	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	590	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	589	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	575	2014
Guaranteed rank minimization via singular value projection P Jain, R Meka, I Dhillon Advances in Neural Information Processing Systems 23, 2010	573	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	563	2016

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