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
Jure LeskovecProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Fred (Farbod) RoostaUniversity of QueenslandVerified email at uq.edu.au
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
Peristera PaschouAssociate Professor of Population Genetics, Department of Biological Sciences, Purdue UniversityVerified email at purdue.edu
Lorenzo OrecchiaUniversity of Chicago, Computer ScienceVerified email at bu.edu
Blair D. SullivanAssociate Professor of Computer Science, University of UtahVerified email at cs.utah.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. MuchaProfessor of Mathematics and Applied Physical Sciences, UNC-Chapel HillVerified email at unc.edu
Mason PorterUCLAVerified email at math.ucla.edu

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	2385	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	1821	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	1085	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	1067	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	908	2005
Randomized algorithms for matrices and data MW Mahoney arXiv preprint arXiv:1104.5557, 2011	790	2011
CUR matrix decompositions for improved data analysis MW Mahoney, P Drineas Proceedings of the National Academy of Sciences 106 (3), 697-702, 2009	655	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	572	2006
Relative-error CUR matrix decompositions P Drineas, MW Mahoney, S Muthukrishnan SIAM Journal on Matrix Analysis and Applications 30 (2), 844-881, 2008	448	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	429	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	409	2012
Diffusion constant of the TIP5P model of liquid water MW Mahoney, WL Jorgensen The Journal of Chemical Physics 114 (1), 363-366, 2001	389	2001
Faster least squares approximation P Drineas, MW Mahoney, S Muthukrishnan, T Sarlós Numerische mathematik 117 (2), 219-249, 2011	382	2011
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	378	2009
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	324	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	295	2006
PCA-correlated SNPs for structure identification in worldwide human populations P Paschou, E Ziv, EG Burchard, S Choudhry, W Rodriguez-Cintron, ... PLoS Genet 3 (9), e160, 2007	294	2007
Fast randomized kernel methods with statistical guarantees AE Alaoui, MW Mahoney arXiv preprint arXiv:1411.0306, 2014	254	2014
Feature selection methods for text classification A Dasgupta, P Drineas, B Harb, V Josifovski, MW Mahoney Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	228	2007
Revisiting the nystrom method for improved large-scale machine learning A Gittens, M Mahoney International Conference on Machine Learning, 567-575, 2013	216	2013

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