Michael Mahoney

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Petros DrineasProfessor, Computer Science Department, Purdue UniversityDirección de correo verificada de purdue.edu
Fred RoostaUniversity of QueenslandDirección de correo verificada de uq.edu.au
Anirban DasguptaProfessor, IIT GandhinagarDirección de correo verificada de iitgn.ac.in
Jure LeskovecProfessor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Kimon FountoulakisDavid R. Cheriton School of Computer Science, University of WaterlooDirección de correo verificada de uwaterloo.ca
Xiangrui MengDatabricksDirección de correo verificada de databricks.com
Christos BoutsidisDirección de correo verificada de gs.com
David GleichPurdue UniversityDirección de correo verificada de purdue.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Haim AvronAssociate Professor, Tel Aviv UniversityDirección de correo verificada de tauex.tau.ac.il
Vikas SindhwaniGoogle DeepMind RoboticsDirección de correo verificada de google.com
Ping MaUniversity of GeorgiaDirección de correo verificada de uga.edu
Lorenzo OrecchiaUniversity of Chicago, Computer ScienceDirección de correo verificada de bu.edu
Peristera PaschouProfessor, Department of Biological Sciences, Purdue UniversityDirección de correo verificada de purdue.edu
Christopher RéComputer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Anastasios ZouziasHuawei ResearchDirección de correo verificada de cs.toronto.edu
Peter J. MuchaJack Byrne Distinguished Professor in Mathematics, Dartmouth CollegeDirección de correo verificada de dartmouth.edu
Mason PorterUCLADirección de correo verificada de math.ucla.edu
Tamás SarlósGoogleDirección de correo verificada de google.com
Julian ShunMITDirección de correo verificada de mit.edu

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Michael Mahoney

Professor of Statistics, UC Berkeley

Dirección de correo verificada de stat.berkeley.edu - Página principal

Algorithms Statistics Linear Algebra Data Analysis Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	2807	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	2387	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	1284	2010
A survey of quantization methods for efficient neural network inference A Gholami, S Kim, Z Dong, Z Yao, MW Mahoney, K Keutzer Low-Power Computer Vision, 291-326, 2022	1235	2022
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	1203	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	1161	2005
Randomized algorithms for matrices and data MW Mahoney Foundations and Trends® in Machine Learning 3 (2), 123-224, 2011	1154	2011
CUR matrix decompositions for improved data analysis MW Mahoney, P Drineas Proceedings of the National Academy of Sciences 106 (3), 697-702, 2009	1029	2009
Characterizing possible failure modes in physics-informed neural networks A Krishnapriyan, A Gholami, S Zhe, R Kirby, MW Mahoney Advances in neural information processing systems 34, 26548-26560, 2021	719	2021
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	695	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	625	2012
Relative-error CUR matrix decompositions P Drineas, MW Mahoney, S Muthukrishnan SIAM Journal on Matrix Analysis and Applications 30 (2), 844-881, 2008	625	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	591	2006
Q-bert: Hessian based ultra low precision quantization of bert S Shen, Z Dong, J Ye, L Ma, Z Yao, A Gholami, MW Mahoney, K Keutzer Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8815-8821, 2020	590	2020
Faster least squares approximation P Drineas, MW Mahoney, S Muthukrishnan, T Sarlós Numerische mathematik 117 (2), 219-249, 2011	585	2011
Hawq: Hessian aware quantization of neural networks with mixed-precision Z Dong, Z Yao, A Gholami, MW Mahoney, K Keutzer Proceedings of the IEEE/CVF international conference on computer vision, 293-302, 2019	556	2019
Revisiting the nystrom method for improved large-scale machine learning A Gittens, M Mahoney International Conference on Machine Learning, 567-575, 2013	510	2013
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	493	2009
Sampling algorithms for l₂ regression and applications P Drineas, MW Mahoney, S Muthukrishnan Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete …, 2006	467	2006
Zeroq: A novel zero shot quantization framework Y Cai, Z Yao, Z Dong, A Gholami, MW Mahoney, K Keutzer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	446	2020

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