| 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 | 358 | 2015 |
| Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition C Musco, C Musco Advances in Neural Information Processing Systems, 2015, 2015 | 264* | 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 | 214 | 2015 |
| Recursive Sampling for the Nyström Method C Musco, C Musco Advances in Neural Information Processing Systems, 2017, 2017 | 181 | 2017 |
| 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 | 154 | 2014 |
| 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 | 146 | 2017 |
| 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 | 137* | 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 | 95 | 2018 |
| 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 | 88* | 2020 |
| Hutch++: Optimal stochastic trace estimation RA Meyer, C Musco, C Musco, DP Woodruff Symposium on Simplicity in Algorithms (SOSA), 142-155, 2021 | 53* | 2021 |
| 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 | 41 | 2018 |
| 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 | 39 | 2020 |
| Principal Component Projection without Principal Component Analysis R Frostig, C Musco, C Musco, A Sidford International Conference on Machine Learning, 2016, 2016 | 31 | 2016 |
| 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 | 30 | 2019 |
| 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 |
| Principled Sampling for Anomaly Detection B Juba, C Musco, F Long, S Sidiroglou-Douskos, MC Rinard Network and Distributed System Security (NDSS) 2015, 2015 | 22 | 2015 |
| 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 | 17 | 2021 |
| Sample efficient toeplitz covariance estimation YC Eldar, J Li, C Musco, C Musco Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020 | 14 | 2020 |
| Fourier Sparse Leverage Scores and Approximate Kernel Learning CM Tamás Erdélyi, Cameron Musco Advances in Neural Information Processing Systems 33, 2020 | 11 | 2020 |
| 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 |
Cameron MuscoAssistant Professor, University of Massachusetts AmherstVerified email at cs.umass.edu
