Inderjit S. Dhillon 个人学术档案

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引用	46945	18278
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Cho-Jui HsiehUniversity of California, Los Angeles在 cs.ucla.edu 的电子邮件经过验证
Hsiang-Fu YuPrincipal Applied Scientist at Amazon在 cs.utexas.edu 的电子邮件经过验证
Prateek JainGoogle Research India在 google.com 的电子邮件经过验证
Suvrit SraTU Munich, MIT在 mit.edu 的电子邮件经过验证
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Brian KulisAssociate Professor at Boston University & Amazon Scholar在 bu.edu 的电子邮件经过验证
James W DEMMELProfessor of EECS and Mathematics, UC Berkeley在 berkeley.edu 的电子邮件经过验证
Nagarajan NatarajanResearcher, Microsoft Research India在 microsoft.com 的电子邮件经过验证
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombs在 utexas.edu 的电子邮件经过验证
Jack DongarraUniversity of Tennessee; Oak Ridge National Laboratory; University of Manchester在 icl.utk.edu 的电子邮件经过验证
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-Champaign在 illinois.edu 的电子邮件经过验证
Kai ZhongApplied Scientist, Amazon在 amazon.com 的电子邮件经过验证
Dharmendra ModhaIBM Fellow在 us.ibm.com 的电子邮件经过验证
R. Clint WhaleyLSU在 lsu.edu 的电子邮件经过验证
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of Michigan在 umich.edu 的电子邮件经过验证
Si SiGoogle Research在 google.com 的电子邮件经过验证
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, Caltech在 caltech.edu 的电子邮件经过验证
Sven HammarlingSenior Honorary Research Fellow, U. of Manchester, Dept. of Mathematics在 manchester.ac.uk 的电子邮件经过验证
Joyce Jiyoung WhangAssociate Professor, KAIST在 kaist.ac.kr 的电子邮件经过验证
Matyas A SustikUniversity of Texas at Austin在 cs.utexas.edu 的电子邮件经过验证

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Inderjit S. Dhillon

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

在 cs.utexas.edu 的电子邮件经过验证 - 首页

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


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	2651	2007
ScaLAPACK users' guide LS Blackford, J Choi, A Cleary, E D'Azevedo, J Demmel, I Dhillon, ... Society for Industrial and Applied Mathematics, 1997	2441	1997
Co-clustering documents and words using bipartite spectral graph partitioning IS Dhillon Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	2377	2001
Clustering with Bregman Divergences ID Banerjee, Arindam: Srujana Merugu, J Ghosh Proceedings of the fourth SIAM international conference on data mining, 234, 2004	2172*	2004
Concept decompositions for large sparse text data using clustering IS Dhillon, DS Modha Machine learning 42, 143-175, 2001	1969	2001
Information-theoretic co-clustering IS Dhillon, S Mallela, DS Modha Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	1761	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	1659	2004
Learning with noisy labels N Natarajan, IS Dhillon, PK Ravikumar, A Tewari Advances in neural information processing systems 26, 2013	1347	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	1308	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	1180	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	793	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	724	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	668	2005
Generalized nonnegative matrix approximations with Bregman divergences S Sra, I Dhillon Advances in neural information processing systems 18, 2005	646	2005
A data-clustering algorithm on distributed memory multiprocessors IS Dhillon, DS Modha Large-scale parallel data mining, 245-260, 2002	638	2002
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	582	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	579	2005
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	565	2014
Guaranteed rank minimization via singular value projection P Jain, R Meka, I Dhillon Advances in Neural Information Processing Systems 23, 2010	565	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	538	2016

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