Christopher Musco
Christopher Musco
Assistant Professor, New York University
Verified email at nyu.edu - Homepage
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
3022015
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition
C Musco, C Musco
Advances in Neural Information Processing Systems, 2015, 2015
202*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
1722015
Recursive Sampling for the Nyström Method
C Musco, C Musco
Advances in Neural Information Processing Systems, 2017, 2017
1322017
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
1292014
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
109*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, 2017, 2017
1032017
Minimizing Polarization and Disagreement in Social Networks
C Musco, C Musco, CE Tsourakakis
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 369-378, 2018
552018
Analyzing the impact of filter bubbles on social network polarization
U Chitra, C Musco
Proceedings of the 13th International Conference on Web Search and Data …, 2020
30*2020
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
252018
Principal Component Projection without Principal Component Analysis
R Frostig, C Musco, C Musco, A Sidford
International Conference on Machine Learning, 2016, 2016
252016
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
222019
Principled Sampling for Anomaly Detection
B Juba, C Musco, F Long, S Sidiroglou-Douskos, MC Rinard
Network and Distributed System Security (NDSS) 2015, 2015
212015
Near optimal linear algebra in the online and sliding window models
V Braverman, P Drineas, C Musco, C Musco, J Upadhyay, DP Woodruff, ...
2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS …, 2020
172020
Hutch++: Optimal stochastic trace estimation
RA Meyer, C Musco, C Musco, DP Woodruff
Symposium on Simplicity in Algorithms (SOSA), 142-155, 2021
132021
Fast and space efficient spectral sparsification in dynamic streams
M Kapralov, A Mousavifar, C Musco, C Musco, N Nouri, A Sidford, ...
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020
112020
Inferring networks from random walk-based node similarities
JG Hoskins, C Musco, C Musco, CE Tsourakakis
Proceedings of the 32nd International Conference on Neural Information …, 2018
7*2018
Eigenvector computation and community detection in asynchronous gossip models
F Mallmann-Trenn, C Musco, C Musco
arXiv preprint arXiv:1804.08548, 2018
72018
Sample efficient toeplitz covariance estimation
YC Eldar, J Li, C Musco, C Musco
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020
62020
Fourier sparse leverage scores and approximate kernel learning
T Erdélyi, C Musco, C Musco
arXiv preprint arXiv:2006.07340, 2020
32020
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Articles 1–20