Alex Gittens
Alex Gittens
Assistant Professor of Computer Science, Rensselaer Polytechnic Institute
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Zitiert von
Zitiert von
Revisiting the nystrom method for improved large-scale machine learning
A Gittens, M Mahoney
International Conference on Machine Learning, 567-575, 2013
Improved matrix algorithms via the subsampled randomized Hadamard transform
C Boutsidis, A Gittens
SIAM Journal on Matrix Analysis and Applications 34 (3), 1301-1340, 2013
Scalable kernel K-means clustering with Nyström approximation: relative-error bounds
S Wang, A Gittens, MW Mahoney
The Journal of Machine Learning Research 20 (1), 431-479, 2019
Sketched ridge regression: Optimization perspective, statistical perspective, and model averaging
S Wang, A Gittens, MW Mahoney
International Conference on Machine Learning, 3608-3616, 2017
Skip-gram− zipf+ uniform= vector additivity
A Gittens, D Achlioptas, MW Mahoney
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
Compact random feature maps
R Hamid, Y Xiao, A Gittens, D DeCoste
International conference on machine learning, 19-27, 2014
The spectral norm error of the naive Nystrom extension
A Gittens
arXiv preprint arXiv:1110.5305, 2011
Matrix factorizations at scale: A comparison of scientific data analytics in Spark and C+ MPI using three case studies
A Gittens, A Devarakonda, E Racah, M Ringenburg, L Gerhardt, ...
2016 IEEE International Conference on Big Data (Big Data), 204-213, 2016
Spectral clustering via the power method-provably
C Boutsidis, P Kambadur, A Gittens
International conference on machine learning, 40-48, 2015
The masked sample covariance estimator: an analysis using matrix concentration inequalities
RY Chen, A Gittens, JA Tropp
Information and Inference: A Journal of the IMA 1 (1), 2-20, 2012
Tail bounds for all eigenvalues of a sum of random matrices
A Gittens, JA Tropp
arXiv preprint arXiv:1104.4513, 2011
Breaking locality accelerates block Gauss-Seidel
S Tu, S Venkataraman, AC Wilson, A Gittens, MI Jordan, B Recht
International Conference on Machine Learning, 3482-3491, 2017
H5spark: bridging the i/o gap between spark and scientific data formats on hpc systems
J Liu, E Racah, Q Koziol, RS Canon, A Gittens
Cray user group, 2016
Error bounds for random matrix approximation schemes
A Gittens, JA Tropp
arXiv preprint arXiv:0911.4108, 2009
Malont: An ontology for malware threat intelligence
N Rastogi, S Dutta, MJ Zaki, A Gittens, C Aggarwal
Deployable Machine Learning for Security Defense: First International …, 2020
Group collaborative representation for image set classification
B Liu, L Jing, J Li, J Yu, A Gittens, MW Mahoney
International Journal of Computer Vision 127, 181-206, 2019
Approximate spectral clustering via randomized sketching
A Gittens, P Kambadur, C Boutsidis
arXiv preprint arXiv:1311.2854, 2013
Synthesis, structure and characterization of two new antimony oxides–LaSb 3 O 9 and LaSb 5 O 12: Formation of LaSb 5 O 12 from the reaction of LaSb 3 O 9 with Sb 2 O 3
KM Ok, A Gittens, L Zhang, PS Halasyamani
Journal of Materials Chemistry 14 (1), 116-120, 2004
Y Liu, E Racah, Q Koziol, RS Canon, A Gittens, L Gerhardt, S Byna, ...
Correa, J, 2017
Alchemist: An Apache Spark⇔ MPI interface
A Gittens, K Rothauge, S Wang, MW Mahoney, J Kottalam, L Gerhardt, ...
Concurrency and Computation: Practice and Experience 31 (16), e5026, 2019
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