Cameron Musco
35 papers · 2015–2026 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 34% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Cameron Musco?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Christopher Musco, Aaron Sidford, Tyler Chen
11 papers
· 2015–2026
· NeurIPS, ICML, COLT
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Query Efficient Structured Matrix Learning
COLT 2026
Sharper Bounds for Chebyshev Moment Matching, with Applications
COLT 2025
Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits
NeurIPS 2024
Nearly Optimal Approximation of Matrix Functions by the Lanczos Method
NeurIPS 2024
Fourier Sparse Leverage Scores and Approximate Kernel Learning
NeurIPS 2020
Inferring Networks From Random Walk-Based Node Similarities
NeurIPS 2018
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees
ICML 2017
Recursive Sampling for the Nystrom Method
NeurIPS 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
ICML 2016
Principal Component Projection Without Principal Component Analysis
ICML 2016
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition
NeurIPS 2015
6 papers whose co-authors appear nowhere else under this name
No-regret Algorithms for Fair Resource Allocation
NeurIPS 2023
Faster Kernel Matrix Algebra via Density Estimation
ICML 2021
Subspace Embeddings under Nonlinear Transformations
ALT 2021
Importance Sampling via Local Sensitivity
AISTATS 2020
Learning to Prune: Speeding up Repeated Computations
COLT 2019
Toward a Characterization of Loss Functions for Distribution Learning
NeurIPS 2019