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
Si SiGoogle ResearchVerified email at google.com
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of MichiganVerified email at umich.edu
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	2681	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	2412	2001
Clustering with Bregman Divergences ID Banerjee, Arindam: Srujana Merugu, J Ghosh Proceedings of the fourth SIAM international conference on data mining, 234, 2004	2217*	2004
Concept decompositions for large sparse text data using clustering IS Dhillon, DS Modha Machine learning 42, 143-175, 2001	2011	2001
Information-theoretic co-clustering IS Dhillon, S Mallela, DS Modha Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	1781	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	1423	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	1346	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	1218	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	720	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	677	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	600	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	592	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	589	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	588	2014

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