Cameron Musco - Concepedia

Author

Cameron Musco

Massachusetts Institute of Technology ORCID

Also Known As

Cameron Musco, Musco, Cameron

148

Publications

1.3K

Citations

H-Index

Concepts

All Affiliations

Massachusetts Institute of Technology University of Massachusetts Amherst Microsoft Research (United Kingdom)Tel Aviv University École Polytechnique Fédérale de Lausanne

About

Cameron Musco is an author at Massachusetts Institute of Technology specializing in computer science, engineering, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	17	754
2	Business	3	3	51
3	Social Sciences	1	1	10
4	Communication	1	1	13
5	Computer Engineering	1	1	13

Cameron Musco

Publications

Citations

H-Index

Page 1

	Year	Citations
Dimensionality Reduction for k-Means Clustering and Low Rank Approximation Michael B. Cohen, Sam Elder, Cameron Musco, EngineeringMachine LearningData ScienceData MiningPattern Recognition	2015	289
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition Cameron Musco, Christopher Musco arXiv (Cornell University)	2015	93
Recursive Sampling for the Nyström Method Cameron Musco, Christopher Musco arXiv (Cornell University) Spectral TheoryAccurate Kernel ApproximationsEngineeringMachine LearningImage Analysis	2017	83
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees Haim Avron, Michael Kapralov, Cameron Musco, International Conference on Machine Learning Approximation BoundsEngineeringMachine LearningData ScienceRandom Fourier Features	2017	67
Input sparsity time low-rank approximation via ridge leverage score sampling Michael B. Cohen, Cameron Musco, Christopher Musco Symposium on Discrete Algorithms Mathematical ProgrammingEngineeringData ScienceRegularization (Mathematics)Approximation Theory	2017	64
Single Pass Spectral Sparsification in Dynamic Streams Michael Kapralov, Yin Tat Lee, Cameron Musco, Spectral TheorySpectral SparsifierGraph SparsitySpectral SparsifiersGraph Theory	2014	58
Input Sparsity Time Low-rank Approximation via Ridge Leverage Score Sampling Michael B. Cohen, Cameron Musco, Christopher Musco	2017	39
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber, Elad Hazan, Chi Jin, arXiv (Cornell University)	2016	34
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees Haim Avron, Michael Kapralov, Cameron Musco, arXiv (Cornell University) Approximation BoundsEngineeringMachine LearningData ScienceRandom Fourier Features	2018	27
InfiniteWalk Sudhanshu Chanpuriya, Cameron Musco Structured PredictionGraph Representation LearningMachine LearningEngineeringMultilingual Pretraining	2020	25

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