| On the Nyström method for approximating a Gram matrix for improved kernel-based learning P Drineas, MW Mahoney journal of machine learning research 6 (Dec), 2153-2175, 2005 | 886 | 2005 |
| CUR matrix decompositions for improved data analysis MW Mahoney, P Drineas Proceedings of the National Academy of Sciences 106 (3), 697-702, 2009 | 631 | 2009 |
| Clustering large graphs via the singular value decomposition P Drineas, A Frieze, R Kannan, S Vempala, V Vinay Machine learning 56 (1-3), 9-33, 2004 | 585 | 2004 |
| 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 | 551 | 2006 |
| Relative-error CUR matrix decompositions P Drineas, MW Mahoney, S Muthukrishnan SIAM Journal on Matrix Analysis and Applications 30 (2), 844-881, 2008 | 432 | 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 | 411 | 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 | 389 | 2012 |
| Faster least squares approximation P Drineas, MW Mahoney, S Muthukrishnan, T Sarlós Numerische mathematik 117 (2), 219-249, 2011 | 371 | 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 | 366 | 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 | 312 | 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 | 293 | 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 | 290 | 2007 |
| Clustering in Large Graphs and Matrices. P Drineas, AM Frieze, R Kannan, SS Vempala, V Vinay SODA 99, 291-299, 1999 | 247 | 1999 |
| Near-optimal column-based matrix reconstruction C Boutsidis, P Drineas, M Magdon-Ismail SIAM Journal on Computing 43 (2), 687-717, 2014 | 241 | 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 | 220 | 2007 |
| Atomic-level characterization of the ensemble of the Aβ (1–42) monomer in water using unbiased molecular dynamics simulations and spectral algorithms NG Sgourakis, M Merced-Serrano, C Boutsidis, P Drineas, Z Du, C Wang, ... Journal of molecular biology 405 (2), 570-583, 2011 | 202 | 2011 |
| Energy minimization via graph cuts: Settling what is possible D Freedman, P Drineas 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 192 | 2005 |
| Randomized Dimensionality Reduction for-Means Clustering C Boutsidis, A Zouzias, MW Mahoney, P Drineas IEEE Transactions on Information Theory 61 (2), 1045-1062, 2014 | 189 | 2014 |
| Random Projections for -means Clustering C Boutsidis, A Zouzias, P Drineas Advances in neural information processing systems 23, 298-306, 2010 | 157 | 2010 |
| RandNLA: randomized numerical linear algebra P Drineas, MW Mahoney Communications of the ACM 59 (6), 80-90, 2016 | 152 | 2016 |
Michael MahoneyProfessor of Statistics, UC BerkeleyVerified email at stat.berkeley.edu
