Cameron Musco

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Christopher MuscoAssistant Professor, New York UniversityAdresse e-mail validée de nyu.edu
Aaron SidfordStanford UniversityAdresse e-mail validée de stanford.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Nancy LynchProfessor of EECS, MITAdresse e-mail validée de csail.mit.edu
Michael B. CohenGraduate Student in Computer Science, MITAdresse e-mail validée de mit.edu
Praneeth NetrapalliGoogle ResearchAdresse e-mail validée de google.com
Yin Tat LeePaul G. Allen School of Computer Science & Engineering, University of WashingtonAdresse e-mail validée de uw.edu
Chi JinAssistant Professor, Princeton UniversityAdresse e-mail validée de princeton.edu
Haim AvronAssociate Professor, Tel Aviv UniversityAdresse e-mail validée de tauex.tau.ac.il
Richard PengCarnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Elad HazanProfessor at Princeton University and Director Google AI PrincetonAdresse e-mail validée de princeton.edu
Dan GarberAssociate Professor at Technion - Israel Institute of TechnologyAdresse e-mail validée de technion.ac.il
Tsvetomira RadevaGrad Student, MITAdresse e-mail validée de csail.mit.edu
Shashanka UbaruIBM ResearchAdresse e-mail validée de ibm.com
Roy FrostigResearch scientist, Google DeepMindAdresse e-mail validée de cs.stanford.edu
Sham M KakadeHarvard UniversityAdresse e-mail validée de seas.harvard.edu

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Cameron Musco

Assistant Professor, University of Massachusetts Amherst

Adresse e-mail validée de cs.umass.edu - Page d'accueil

Algorithms Data Science Linear Algebraic Computation Biological Algorithms


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	426	2015
Randomized block krylov methods for stronger and faster approximate singular value decomposition C Musco, C Musco Advances in neural information processing systems 28, 2015	346	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	252	2015
Recursive Sampling for the Nyström Method C Musco, C Musco arXiv preprint arXiv:1605.07583, 2016	238	2016
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	184	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	175*	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	169	2014
Minimizing polarization and disagreement in social networks C Musco, C Musco, CE Tsourakakis Proceedings of the 2018 world wide web conference, 369-378, 2018	151	2018
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	124*	2016
Hutch++: Optimal stochastic trace estimation RA Meyer, C Musco, C Musco, DP Woodruff Symposium on Simplicity in Algorithms (SOSA), 142-155, 2021	118	2021
Online row sampling MB Cohen, C Musco, J Pachocki Theory of Computing 16 (1), 1-25, 2020	77*	2020
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	64*	2018
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	59	2017
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	58	2018
Node embeddings and exact low-rank representations of complex networks S Chanpuriya, C Musco, K Sotiropoulos, C Tsourakakis Advances in neural information processing systems 33, 13185-13198, 2020	45	2020
Ant-inspired density estimation via random walks C Musco, HH Su, N Lynch Proceedings of the 2016 ACM Symposium on Principles of Distributed Computing …, 2016	44	2016
Infinitewalk: Deep network embeddings as laplacian embeddings with a nonlinearity S Chanpuriya, C Musco Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020	40	2020
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	39	2019
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	39	2017
Principal component projection without principal component analysis R Frostig, C Musco, C Musco, A Sidford International Conference on Machine Learning, 2349-2357, 2016	37	2016

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