Cameron Musco

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i10-indeks	34	34

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Christopher MuscoAssistant Professor, New York UniversityPotvrđena adresa e-pošte na nyu.edu
Aaron SidfordStanford UniversityPotvrđena adresa e-pošte na stanford.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Nancy LynchProfessor of EECS, MITPotvrđena adresa e-pošte na csail.mit.edu
Michael B. CohenGraduate Student in Computer Science, MITPotvrđena adresa e-pošte na mit.edu
Praneeth NetrapalliGoogle ResearchPotvrđena adresa e-pošte na google.com
Yin Tat LeePaul G. Allen School of Computer Science & Engineering, University of WashingtonPotvrđena adresa e-pošte na uw.edu
Chi JinAssistant Professor, Princeton UniversityPotvrđena adresa e-pošte na princeton.edu
Haim AvronAssociate Professor, Tel Aviv UniversityPotvrđena adresa e-pošte na tauex.tau.ac.il
Richard PengUniversity of WaterlooPotvrđena adresa e-pošte na uwaterloo.ca
Elad HazanProfessor at Princeton University and Director Google AI PrincetonPotvrđena adresa e-pošte na princeton.edu
Dan GarberAssociate Professor at Technion - Israel Institute of TechnologyPotvrđena adresa e-pošte na technion.ac.il
Tsvetomira RadevaGrad Student, MITPotvrđena adresa e-pošte na csail.mit.edu
Shashanka UbaruIBM ResearchPotvrđena adresa e-pošte na umn.edu
Roy FrostigResearch scientist, Google Research, Brain teamPotvrđena adresa e-pošte na cs.stanford.edu
Sham M KakadeHarvard UniversityPotvrđena adresa e-pošte na seas.harvard.edu

Prati

Cameron Musco

Assistant Professor, University of Massachusetts Amherst

Potvrđena adresa e-pošte na cs.umass.edu - Početna stranica

Algorithms Data Science Linear Algebraic Computation Biological Algorithms


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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 28, 2015	263*	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 arXiv preprint arXiv:1605.07583, 2016	181	2016
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, 253-262, 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
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	113*	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	95	2018
Online row sampling MB Cohen, C Musco, J Pachocki Theory of Computing 16 (APPROX-RANDOM 2016 Special Issue), 2020	65*	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
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	47	2017
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	43*	2018
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
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	35	2016
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	34	2017
Principal component projection without principal component analysis R Frostig, C Musco, C Musco, A Sidford International Conference on Machine Learning, 2349-2357, 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
Computational tradeoffs in biological neural networks: Self-stabilizing winner-take-all networks N Lynch, C Musco, M Parter arXiv preprint arXiv:1610.02084, 2016	30	2016
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	25	2015

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