Michael Mahoney

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Petros DrineasProfessor, Computer Science Department, Purdue UniversityVerified email at purdue.edu
Anirban DasguptaProfessor, IIT GandhinagarVerified email at iitgn.ac.in
Fred RoostaUniversity of QueenslandVerified email at uq.edu.au
Jure LeskovecProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Kimon FountoulakisDavid R. Cheriton School of Computer Science, University of WaterlooVerified email at uwaterloo.ca
Xiangrui MengDatabricksVerified email at databricks.com
Christos BoutsidisGoldman SachsVerified email at gs.com
David GleichPurdue UniversityVerified email at purdue.edu
David WoodruffCarnegie Mellon UniversityVerified email at cs.cmu.edu
Haim AvronAssociate Professor, Tel Aviv UniversityVerified email at tauex.tau.ac.il
Vikas SindhwaniRobotics at Google, New YorkVerified email at google.com
Lorenzo OrecchiaUniversity of Chicago, Computer ScienceVerified email at bu.edu
Peristera PaschouProfessor, Department of Biological Sciences, Purdue UniversityVerified email at purdue.edu
Ping MaUniversity of GeorgiaVerified email at uga.edu
Michael SaundersProfessor of Operations Research, Stanford UniversityVerified email at stanford.edu
Bin YUProfessor of Statistics and EECS, UC BerkeleyVerified email at stat.berkeley.edu
Anastasios ZouziasDepartment of Computer Science, University of TorontoVerified email at cs.toronto.edu
Peter J. MuchaJack Byrne Distinguished Professor in Mathematics, Dartmouth CollegeVerified email at dartmouth.edu
Mason PorterUCLAVerified email at math.ucla.edu
Tamás SarlósGoogleVerified email at google.com

Michael Mahoney

Professor of Statistics, UC Berkeley

Verified email at stat.berkeley.edu - Homepage

Algorithms Statistics Linear Algebra Data Analysis Machine Learning


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A five-site model for liquid water and the reproduction of the density anomaly by rigid, nonpolarizable potential functions MW Mahoney, WL Jorgensen The Journal of chemical physics 112 (20), 8910-8922, 2000	2550	2000
Community structure in large networks: Natural cluster sizes and the absence of large well-defined clusters J Leskovec, KJ Lang, A Dasgupta, MW Mahoney Internet Mathematics 6 (1), 29-123, 2009	2020	2009
Empirical comparison of algorithms for network community detection J Leskovec, KJ Lang, M Mahoney Proceedings of the 19th international conference on World wide web, 631-640, 2010	1162	2010
Statistical properties of community structure in large social and information networks J Leskovec, KJ Lang, A Dasgupta, MW Mahoney Proceedings of the 17th international conference on World Wide Web, 695-704, 2008	1132	2008
On the Nyström Method for Approximating a Gram Matrix for Improved Kernel-Based Learning. P Drineas, MW Mahoney, N Cristianini journal of machine learning research 6 (12), 2005	991	2005
Randomized algorithms for matrices and data MW Mahoney arXiv preprint arXiv:1104.5557, 2011	884	2011
CUR matrix decompositions for improved data analysis MW Mahoney, P Drineas Proceedings of the National Academy of Sciences 106 (3), 697-702, 2009	757	2009
Fast Monte Carlo algorithms for matrices II: Computing a low-rank approximation to a matrix P Drineas, R Kannan, MW Mahoney SIAM Journal on computing 36 (1), 158-183, 2006	593	2006
Relative-error CUR matrix decompositions P Drineas, MW Mahoney, S Muthukrishnan SIAM Journal on Matrix Analysis and Applications 30 (2), 844-881, 2008	482	2008
Fast Monte Carlo algorithms for matrices I: Approximating matrix multiplication P Drineas, R Kannan, MW Mahoney SIAM Journal on Computing 36 (1), 132-157, 2006	461	2006
Fast approximation of matrix coherence and statistical leverage P Drineas, M Magdon-Ismail, MW Mahoney, DP Woodruff The Journal of Machine Learning Research 13 (1), 3475-3506, 2012	454	2012
Faster least squares approximation P Drineas, MW Mahoney, S Muthukrishnan, T Sarlós Numerische mathematik 117 (2), 219-249, 2011	447	2011
Diffusion constant of the TIP5P model of liquid water MW Mahoney, WL Jorgensen The Journal of Chemical Physics 114 (1), 363-366, 2001	405	2001
An improved approximation algorithm for the column subset selection problem C Boutsidis, MW Mahoney, P Drineas Proceedings of the twentieth annual ACM-SIAM symposium on Discrete …, 2009	404	2009
Revisiting the nystrom method for improved large-scale machine learning A Gittens, M Mahoney International Conference on Machine Learning, 567-575, 2013	380	2013
Fast Monte Carlo algorithms for matrices III: Computing a compressed approximate matrix decomposition P Drineas, R Kannan, MW Mahoney SIAM Journal on Computing 36 (1), 184-206, 2006	346	2006
Sampling algorithms for l₂ regression and applications P Drineas, MW Mahoney, S Muthukrishnan Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete …, 2006	338	2006
PCA-correlated SNPs for structure identification in worldwide human populations P Paschou, E Ziv, EG Burchard, S Choudhry, W Rodriguez-Cintron, ... PLoS genetics 3 (9), e160, 2007	318	2007
Fast randomized kernel ridge regression with statistical guarantees A Alaoui, MW Mahoney Advances in neural information processing systems 28, 2015	296	2015
A statistical perspective on algorithmic leveraging P Ma, M Mahoney, B Yu International Conference on Machine Learning, 91-99, 2014	261	2014

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