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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
3462015
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition
C Musco, C Musco
Advances in Neural Information Processing Systems, 2015, 2015
251*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
2032015
Recursive Sampling for the Nyström Method
C Musco, C Musco
Advances in Neural Information Processing Systems, 2017, 2017
1702017
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
1512014
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
1342017
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
133*2017
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
882018
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
79*2020
Hutch++: Optimal stochastic trace estimation
RA Meyer, C Musco, C Musco, DP Woodruff
Symposium on Simplicity in Algorithms (SOSA), 142-155, 2021
472021
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
352020
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
352018
Principal Component Projection without Principal Component Analysis
R Frostig, C Musco, C Musco, A Sidford
International Conference on Machine Learning, 2016, 2016
302016
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
292019
Principled Sampling for Anomaly Detection
B Juba, C Musco, F Long, S Sidiroglou-Douskos, MC Rinard
Network and Distributed System Security (NDSS) 2015, 2015
232015
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
22*2020
Correlation sketches for approximate join-correlation queries
A Santos, A Bessa, F Chirigati, C Musco, J Freire
Proceedings of the 2021 International Conference on Management of Data, 1531 …, 2021
122021
Sample efficient toeplitz covariance estimation
YC Eldar, J Li, C Musco, C Musco
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020
112020
Inferring networks from random walk-based node similarities
J Hoskins, C Musco, C Musco, B Tsourakakis
Advances in Neural Information Processing Systems 31, 2018
11*2018
Public transport planning: When transit network connectivity meets commuting demand
S Wang, Y Sun, C Musco, Z Bao
Proceedings of the 2021 International Conference on Management of Data, 1906 …, 2021
102021
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