Faculty

Institution

Unit

Venue

Christopher Musco

Assistant Professor

New York University

Affiliations

Arts & Science

Computer Science

Courant Institute of Mathematical Sciences

Computer Science

Tandon School of Engineering

Computer Science and Engineering

NYU Abu Dhabi

Division of Science

Christopher Musco is currently serving as an Arts & Science Assistant Professor at New York University.

Honors

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Experiences

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Education

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Christopher Musco

New York University

Assistant Professor

You can click a keyword to filter the displayed items

applied mathematics machine learning data science mathematical optimization computer science low-rank approximation numerical linear algebra computational statistics linear algebra approximation theory numerical algorithms statistical methodology estimation theory matrix analysis machine learning research matrix theory sampling signal processing numerical mathematics computational intelligence computational optimization matrix factorization applied algebra kernel methods dynamic streams political science mathematical analysis scientific computing spectral theory bayesian analysis density estimation social network analysis streaming algorithms stream processing dimensionality reduction applied mathematical modelling streaming data engineering mathematics transportation planning public transport sampling theory signal reconstruction data-driven optimization matrix approximation filter bubbles block krylov methods public transport planning lanczos method simple fourier transforms universal sampling method data security mathematical sciences computational imaging scientific data programming languages numerical computation neuroinformatics graph sparsity numerical stability stability analysis query analysis anomaly detection data engineering mathematical modelling network theory data stream mining data streams communication complexity low rank approximation social network polarization recursive sampling nystrom method matrix function approximation approximate join-correlation queries correlation sketches optimal linear algebra graph theory algorithm design computational mathematics theoretical computer science randomized algorithms

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Algorithm-Agnostic Low-Rank Approximation of Operator Monotone Matrix Functions*. SIAM Journal on Matrix Analysis and Applications (SIMAX) (2025)

mathematical optimizationlow-rank approximationalgorithm-agnostic low-rank approximationmatrix analysislinear algebraoperator theorymathematicscomputational optimizationnumerical linear algebramatrix theoryapproximation theoryapplied mathematicsnumerical algorithms

Algorithm-Agnostic Low-Rank Approximation of Operator Monotone Matrix Functions. SIAM Journal on Matrix Analysis and Applications (2025)

David PerssonRaphael A. MeyerChristopher Musco

mathematical optimizationlow-rank approximationapproximation theoryapplied mathematicsmachine learningalgorithm-agnostic low-rank approximation

Coupling Without Communication and Drafter-Invariant Speculative Decoding. International Symposium on Information Theory (ISIT) (2025)

iterative decodingcomputer sciencedrafter-invariant speculative decodingprogramming languagescommunication theoryintermediate representationcommunication

Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search. (2025)

computer sciencegraph theoryglobal optimizationlocalizationrange searchinglocal search (optimization)iterated local searchsimilarity searchgraph matchingapproximation theoryapplied mathematics

E§Iciently Constructing Sparse Navigable Graphs. (2025)

graph algorithmsgraph theorycomputational geometrycombinatorial theorystructural graph theorymathematicsdiscrete mathematicsapplied mathematicssparse navigable graphs

Faster Linear Systems and Matrix Norm Approximation via Multi-Level Sketched Preconditioning. Society for Industrial and Applied Mathematics eBooks (2025)

mathematical optimizationcomputer sciencelow-rank approximationmatrix factorizationmulti-level sketched preconditioningnumerical analysislinear algebramatrix analysismatrix norm approximationcomputational mathematicsfaster linear systemscomputational optimizationnumerical linear algebraapproximation theoryapplied mathematicsnumerical algorithms

Improved Spectral Density Estimation via Explicit and Implicit Deflation. Society for Industrial and Applied Mathematics eBooks (2025)

statistical methodologyspectral analysissignal processingspectral density estimationdensity estimationcomputational statisticsspectral theoryapplied mathematics

Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values*. (2025)

statistical methodologyreproducing kernel methodskernel banzhafestimation theorystatistical theoryrobust statisticscomputational statisticsconvex analysiskernel methodsstatistical inferenceapplied mathematicsstatistics

Matrix Product Sketching via Coordinated Sampling. arXiv (Cornell University) (2025)

sketch-based modelingcomputer sciencecomputational sciencematrix factorizationgraphicscomputational statisticsnumerical linear algebramatrix theoryapplied mathematicsmatrix product sketching

Near-Optimal Hierarchical Matrix Approximation From Matrix-Vector Products. Society for Industrial and Applied Mathematics eBooks (2025)

mathematical optimizationlow-rank approximationmatrix factorizationmatrix-vector productslinear algebracomputational optimizationnumerical linear algebramatrix theoryapproximation theoryapplied mathematicsnumerical algorithms

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Christopher Musco

Assistant Professor

New York University

Affiliations

Arts & Science

Computer Science

Courant Institute of Mathematical Sciences

Computer Science

Tandon School of Engineering

Computer Science and Engineering

NYU Abu Dhabi

Division of Science

Christopher Musco is currently serving as an Arts & Science Assistant Professor at New York University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Christopher Musco

New York University

Assistant Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Algorithm-Agnostic Low-Rank Approximation of Operator Monotone Matrix Functions*. SIAM Journal on Matrix Analysis and Applications (SIMAX) (2025)

Algorithm-Agnostic Low-Rank Approximation of Operator Monotone Matrix Functions. SIAM Journal on Matrix Analysis and Applications (2025)

David PerssonRaphael A. MeyerChristopher Musco

mathematical optimizationlow-rank approximationapproximation theoryapplied mathematicsmachine learningalgorithm-agnostic low-rank approximation

Coupling Without Communication and Drafter-Invariant Speculative Decoding. International Symposium on Information Theory (ISIT) (2025)

iterative decodingcomputer sciencedrafter-invariant speculative decodingprogramming languagescommunication theoryintermediate representationcommunication

Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search. (2025)

computer sciencegraph theoryglobal optimizationlocalizationrange searchinglocal search (optimization)iterated local searchsimilarity searchgraph matchingapproximation theoryapplied mathematics

E§Iciently Constructing Sparse Navigable Graphs. (2025)

graph algorithmsgraph theorycomputational geometrycombinatorial theorystructural graph theorymathematicsdiscrete mathematicsapplied mathematicssparse navigable graphs

Faster Linear Systems and Matrix Norm Approximation via Multi-Level Sketched Preconditioning. Society for Industrial and Applied Mathematics eBooks (2025)

Improved Spectral Density Estimation via Explicit and Implicit Deflation. Society for Industrial and Applied Mathematics eBooks (2025)

statistical methodologyspectral analysissignal processingspectral density estimationdensity estimationcomputational statisticsspectral theoryapplied mathematics

Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values*. (2025)

Matrix Product Sketching via Coordinated Sampling. arXiv (Cornell University) (2025)

sketch-based modelingcomputer sciencecomputational sciencematrix factorizationgraphicscomputational statisticsnumerical linear algebramatrix theoryapplied mathematicsmatrix product sketching

Near-Optimal Hierarchical Matrix Approximation From Matrix-Vector Products. Society for Industrial and Applied Mathematics eBooks (2025)

1
2
3
4
5
11
10 / page

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high-dimensional statistics

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discrete algorithm

differential privacy

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quantum optimization algorithm

numerical linear algebra

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