Follow
Cameron Musco
Title
Cited by
Cited by
Year
Dimensionality reduction for k-means clustering and low rank approximation
MB Cohen, S Elder, C Musco, C Musco, M Persu
Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015
3272015
Randomized block krylov methods for stronger and faster approximate singular value decomposition
C Musco, C Musco
Advances in neural information processing systems 28, 2015
236*2015
Uniform sampling for matrix approximation
MB Cohen, YT Lee, C Musco, C Musco, R Peng, A Sidford
Proceedings of the 2015 Conference on Innovations in Theoretical Computer …, 2015
1902015
Recursive Sampling for the Nyström Method
C Musco, C Musco
arXiv preprint arXiv:1605.07583, 2016
1562016
Single pass spectral sparsification in dynamic streams
M Kapralov, YT Lee, C Musco, C Musco, A Sidford
Foundations of Computer Science (FOCS), 2014 IEEE 55th Annual Symposium on …, 2014
1382014
Input sparsity time low-rank approximation via ridge leverage score sampling
MB Cohen, C Musco, C Musco
Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017
124*2017
Random fourier features for kernel ridge regression: Approximation bounds and statistical guarantees
H Avron, M Kapralov, C Musco, C Musco, A Velingker, A Zandieh
International conference on machine learning, 253-262, 2017
1222017
Faster eigenvector computation via shift-and-invert preconditioning
D Garber, E Hazan, C Jin, C Musco, P Netrapalli, A Sidford
International Conference on Machine Learning, 2626-2634, 2016
107*2016
Minimizing polarization and disagreement in social networks
C Musco, C Musco, CE Tsourakakis
Proceedings of the 2018 world wide web conference, 369-378, 2018
712018
Online row sampling
MB Cohen, C Musco, J Pachocki
Theory of Computing 16 (APPROX-RANDOM 2016 Special Issue), 2020
54*2020
Sublinear time low-rank approximation of positive semidefinite matrices
C Musco, DP Woodruff
2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS …, 2017
422017
Hutch++: Optimal stochastic trace estimation
RA Meyer, C Musco, C Musco, DP Woodruff
Symposium on Simplicity in Algorithms (SOSA), 142-155, 2021
362021
Stability of the Lanczos method for matrix function approximation
C Musco, C Musco, A Sidford
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018
332018
Spectrum approximation beyond fast matrix multiplication: Algorithms and hardness
C Musco, P Netrapalli, A Sidford, S Ubaru, DP Woodruff
arXiv preprint arXiv:1704.04163, 2017
322017
Near optimal linear algebra in the online and sliding window models
SZ Vladimir Braverman, Petros Drineas, Cameron Musco, Christopher Musco ...
arXiv preprint arXiv:1805.03765, 2018
31*2018
Ant-inspired density estimation via random walks
C Musco, HH Su, NA Lynch
Proceedings of the National Academy of Sciences 114 (40), 10534-10541, 2017
312017
Computational tradeoffs in biological neural networks: Self-stabilizing winner-take-all networks
N Lynch, C Musco, M Parter
arXiv preprint arXiv:1610.02084, 2016
272016
Principal component projection without principal component analysis
R Frostig, C Musco, C Musco, A Sidford
International Conference on Machine Learning, 2349-2357, 2016
272016
A universal sampling method for reconstructing signals with simple fourier transforms
H Avron, M Kapralov, C Musco, C Musco, A Velingker, A Zandieh
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing …, 2019
252019
Distributed house-hunting in ant colonies
M Ghaffari, C Musco, T Radeva, N Lynch
Proceedings of the 2015 ACM Symposium on Principles of Distributed Computing …, 2015
222015
The system can't perform the operation now. Try again later.
Articles 1–20