Michael W. Mahoney, Ph.D.

Statistics University of California, Berkeley, Berkeley, CA, United States 
 2000 Yale University, New Haven, CT 
computational chemistry and molecular design
"Michael Mahoney"
Cross-listing: Chemistry Tree


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William L. Jorgensen grad student 2000 Yale (Chemistry Tree)
 (The computational statistical mechanics of simple models of liquid water.)
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Devarakonda A, Fountoulakis K, Demmel J, et al. (2019) Avoiding Communication in Primal and Dual Block Coordinate Descent Methods Siam Journal On Scientific Computing. 41: C1-C27
Xu P, Roosta F, Mahoney MW. (2019) Newton-type methods for non-convex optimization under inexact Hessian information Mathematical Programming. 1-36
Roosta-Khorasani F, Mahoney MW. (2019) Sub-sampled Newton methods Mathematical Programming. 174: 293-326
Fountoulakis K, Roosta-Khorasani F, Shun J, et al. (2019) Variational perspective on local graph clustering Mathematical Programming. 174: 553-573
Drineas P, Mahoney MW. (2016) RandNLA: Randomized numerical linear algebra Communications of the Acm. 59: 80-90
Yang J, Rübel O, Prabhat, et al. (2015) Identifying important ions and positions in mass spectrometry imaging data using CUR matrix decompositions. Analytical Chemistry. 87: 4658-66
Yang J, Meng X, Mahoney MW. (2014) Quantile regression for large-scale applications Siam Journal On Scientific Computing. 36: S78-S110
Bodor A, Csabai I, Mahoney MW, et al. (2012) rCUR: an R package for CUR matrix decomposition. Bmc Bioinformatics. 13: 103
Mahoney MW. (2011) Computation in large-scale scientific and internet data applications is a focus of MMDS 2010 Sigkdd Explorations. 12: 59-62
Drineas P, Mahoney MW, Muthukrishnan S, et al. (2011) Faster least squares approximation Numerische Mathematik. 117: 219-249
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