Cameron Musco

University of Massachusetts Amherst — United States

Engineering · Physical Sciences

16h-index1.3kcitations148works0.22yr avg
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Research Topics

Sparse and Compressive Sensing Techniques(59), Stochastic Gradient Optimization Techniques(43), Machine Learning and Algorithms(27), Matrix Theory and Algorithms(19), Complex Network Analysis Techniques(16)

Publications148 total

Sublinear Time Low-Rank Approximation of Hankel Matrices
Society for Industrial and Applied Mathematics eBooks·2026
Fairness in the k-Server Problem
ArXiv.org·2025Open Access
Fairness in the k-Server Problem
arXiv (Cornell University)·2025Open Access
Sublinear Time Low-Rank Approximation of Hankel Matrices
arXiv (Cornell University)·2025Open Access
Query Efficient Structured Matrix Learning
arXiv (Cornell University)·2025Open Access
Quasi-optimal hierarchically semi-separable matrix approximation
arXiv (Cornell University)·2025Open Access
Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search
arXiv (Cornell University)·2025Open Access
Improved Spectral Density Estimation via Explicit and Implicit Deflation
Society for Industrial and Applied Mathematics eBooks·2025· 1 cited
Near-optimal hierarchical matrix approximation from matrix-vector products
Society for Industrial and Applied Mathematics eBooks·2025Open Access
Local Edge Dynamics and Opinion Polarization
ACM Transactions on Intelligent Systems and Technology·2024
Improved Spectral Density Estimation via Explicit and Implicit Deflation
arXiv (Cornell University)·2024Open Access
Efficient and Private Marginal Reconstruction with Local Non-Negativity
arXiv (Cornell University)·2024Open Access
Sharper Bounds for Chebyshev Moment Matching, with Applications
arXiv (Cornell University)·2024Open Access
Near-optimal hierarchical matrix approximation from matrix-vector products
arXiv (Cornell University)·2024Open Access
Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems
arXiv (Cornell University)·2024· 1 citedOpen Access
Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits
arXiv (Cornell University)·2024Open Access
Sublinear Time Low-Rank Approximation of Toeplitz Matrices
arXiv (Cornell University)·2024Open Access
Fixed-sparsity matrix approximation from matrix-vector products
arXiv (Cornell University)·2024Open Access
Sublinear Time Eigenvalue Approximation via Random Sampling
Algorithmica·2024
Nearly Optimal Approximation of Matrix Functions by the Lanczos Method
2024
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Frequent Co-authors

Christopher Musco(26), Michael B. Cohen(8), Aaron Sidford(7), Nancy Lynch(6), Michael Kapralov(5), Praneeth Netrapalli(4), Sudhanshu Chanpuriya(4), Yin Tat Lee(3), Chi Jin(3), Sham M. Kakade(3), David P. Woodruff(3), Charalampos E. Tsourakakis(3), Merav Parter(3), Sam Elder(2), Madalina Persu(2), Haim Avron(2), Ameya Velingker(2), Amir Zandieh(2), Dan Garber(2), Elad Hazan(2)