Stebėti
Michael Mahoney
Michael Mahoney
Professor of Statistics, UC Berkeley
Patvirtintas el. paštas stat.berkeley.edu - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
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
28292000
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
24162009
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
14022022
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
13052010
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
12152008
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
11832005
Randomized algorithms for matrices and data
MW Mahoney
Foundations and Trends® in Machine Learning 3 (2), 123-224, 2011
11662011
CUR matrix decompositions for improved data analysis
MW Mahoney, P Drineas
Proceedings of the National Academy of Sciences 106 (3), 697-702, 2009
10532009
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
8122021
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
6932006
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
6352012
Relative-error CUR matrix decompositions
P Drineas, MW Mahoney, S Muthukrishnan
SIAM Journal on Matrix Analysis and Applications 30 (2), 844-881, 2008
6302008
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
6182020
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
5952006
Faster least squares approximation
P Drineas, MW Mahoney, S Muthukrishnan, T Sarlós
Numerische mathematik 117 (2), 219-249, 2011
5902011
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
5892019
Revisiting the Nyström method for improved large-scale machine learning
A Gittens, MW Mahoney
The Journal of Machine Learning Research 17 (1), 3977-4041, 2016
5122016
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
4982009
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
4832020
Sampling algorithms for l2 regression and applications
P Drineas, MW Mahoney, S Muthukrishnan
Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete …, 2006
4702006
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Straipsniai 1–20