Inderjit S. Dhillon

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Cho-Jui HsiehUniversity of California, Los AngelesZweryfikowany adres z cs.ucla.edu
Hsiang-Fu YuPrincipal Applied Scientist at AmazonZweryfikowany adres z cs.utexas.edu
Prateek JainGoogle Research IndiaZweryfikowany adres z google.com
Suvrit SraTUM and MITZweryfikowany adres z mit.edu
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityZweryfikowany adres z cs.cmu.edu
Brian KulisAssociate Professor at Boston University & Amazon ScholarZweryfikowany adres z bu.edu
James W DEMMELProfessor of EECS and Mathematics, UC BerkeleyZweryfikowany adres z berkeley.edu
Nagarajan NatarajanResearcher, Microsoft Research IndiaZweryfikowany adres z microsoft.com
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsZweryfikowany adres z utexas.edu
Jack DongarraUniversity of Tennessee; Oak Ridge National Laboratory; University of ManchesterZweryfikowany adres z icl.utk.edu
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignZweryfikowany adres z illinois.edu
Kai ZhongApplied Scientist, AmazonZweryfikowany adres z amazon.com
Dharmendra ModhaIBM FellowZweryfikowany adres z us.ibm.com
R. Clint WhaleyLSUZweryfikowany adres z lsu.edu
Si SiGoogle ResearchZweryfikowany adres z google.com
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of MichiganZweryfikowany adres z umich.edu
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechZweryfikowany adres z caltech.edu
Sven HammarlingSenior Honorary Research Fellow, U. of Manchester, Dept. of MathematicsZweryfikowany adres z manchester.ac.uk
Joyce Jiyoung WhangAssociate Professor, KAISTZweryfikowany adres z kaist.ac.kr
Matyas A SustikUniversity of Texas at AustinZweryfikowany adres z 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

Zweryfikowany adres z cs.utexas.edu - Strona główna

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


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	2678	2007
ScaLAPACK users' guide LS Blackford, J Choi, A Cleary, E D'Azevedo, J Demmel, I Dhillon, ... Society for Industrial and Applied Mathematics, 1997	2462	1997
Co-clustering documents and words using bipartite spectral graph partitioning IS Dhillon Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	2411	2001
Clustering with Bregman Divergences ID Banerjee, Arindam: Srujana Merugu, J Ghosh Proceedings of the fourth SIAM international conference on data mining, 234, 2004	2216*	2004
Concept decompositions for large sparse text data using clustering IS Dhillon, DS Modha Machine learning 42, 143-175, 2001	2006	2001
Information-theoretic co-clustering IS Dhillon, S Mallela, DS Modha Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	1779	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	1705	2004
Learning with noisy labels N Natarajan, IS Dhillon, PK Ravikumar, A Tewari Advances in neural information processing systems 26, 2013	1418	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	1344	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	1215	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	823	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	729	2003
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024	676	2024
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	676	2005
Generalized nonnegative matrix approximations with Bregman divergences S Sra, I Dhillon Advances in neural information processing systems 18, 2005	660	2005
A data-clustering algorithm on distributed memory multiprocessors IS Dhillon, DS Modha Large-scale parallel data mining, 245-260, 2002	643	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	599	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
Temporal regularized matrix factorization for high-dimensional time series prediction HF Yu, N Rao, IS Dhillon Advances in neural information processing systems 29, 2016	588	2016
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	586	2014

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