Scholar
Tyler Chen
Google Scholar ID: FD4TjnYAAAAJ
JPMorganChase
Randomized Algorithms
Matrix Computations
Krylov Subspace Methods
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Citations & Impact
All-time
Citations
259
H-index
10
i10-index
11
Publications
20
Co-authors
33
list available
Contact
Email
tylerchen.research@gmail.com
CV
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GitHub
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Publications
10 items
Hutch#: Optimal non-adaptive Frobenius norm estimation
2026
Cited
0
Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop
2026
Cited
0
A simple analysis of a quantum-inspired algorithm for solving low-rank linear systems
2025
Cited
0
Does block size matter in randomized block Krylov low-rank approximation?
2025
Cited
0
Query Efficient Structured Matrix Learning
2025
Cited
0
A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values
2025
Cited
0
GPU-Parallelizable Randomized Sketch-and-Precondition for Linear Regression using Sparse Sign Sketches
2025
Cited
0
Quasi-optimal hierarchically semi-separable matrix approximation
2025
Cited
0
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Resume
Academic Achievements
Published multiple research papers available on Google Scholar
Authored the online book 'Randomized Numerical Linear Algebra with Examples' with numerical illustrations
Wrote 'The Lanczos algorithm for matrix functions: a handbook for scientists', emphasizing conceptual understanding in finite precision
Shared code for generating figures from papers on GitHub
Prepared and shared past application and grant proposal materials
Co-authors
10 total
Christopher Musco
Associate Professor, New York University
Cameron Musco
Assistant Professor, University of Massachusetts Amherst
Anne Greenbaum
Professor of Applied Math, University of Washington
Noah Amsel
Courant Institute, NYU
Shashanka Ubaru
IBM Research
Rachel Ward
UT Austin
Niraj Kumar
Research Scientist, JPMorganChase
Archan Ray
Applied Research Scientist, JP Morgan Chase