Tyler Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Function Approximation

Top Venues

SIAM J. Matrix Anal. Appl.

SIAM J. Sci. Comput.

Publications

Noah Amsel, Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco
Fixed-sparsity matrix approximation from matrix-vector products. CoRR (2024)
Tyler Chen, Gérard Meurant
Near-optimal convergence of the full orthogonalization method. CoRR (2024)
Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco, David Persson
Near-optimal hierarchical matrix approximation from matrix-vector products. CoRR (2024)
Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco
Low-Memory Krylov Subspace Methods for Optimal Rational Matrix Function Approximation. SIAM J. Matrix Anal. Appl. 44 (2) (2023)
Tyler Chen, Eric Hallman
Krylov-Aware Stochastic Trace Estimation. SIAM J. Matrix Anal. Appl. 44 (3) (2023)
Tyler Chen, Anne Greenbaum, Natalie Wellen
Optimal Polynomial Approximation to Rational Matrix Functions Using the Arnoldi Algorithm. CoRR (2023)
Tyler Chen, Anne Greenbaum, Thomas Trogdon
GMRES, pseudospectra, and Crouzeix's conjecture for shifted and scaled Ginibre matrices. CoRR (2023)
Tyler Chen, Thomas Trogdon
Stability of the Lanczos algorithm on matrices with regular spectral distributions. CoRR (2023)
Tyler Chen, Robert Chen, Kevin Li, Skai Nzeuton, Yilu Pan, Yixin Wang
Faster randomized partial trace estimation. CoRR (2023)
Tyler Chen
A spectrum adaptive kernel polynomial method. CoRR (2023)
Noah Amsel, Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco
Near-Optimality Guarantees for Approximating Rational Matrix Functions by the Lanczos Method. CoRR (2023)
Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco
Low-memory Krylov subspace methods for optimal rational matrix function approximation. CoRR (2022)
Tyler Chen, Thomas Trogdon, Shashanka Ubaru
Randomized matrix-free quadrature for spectrum and spectral sum approximation. CoRR (2022)
Tyler Chen, Yu-Chen Cheng
Numerical computation of the equilibrium-reduced density matrix for strongly coupled open quantum systems. CoRR (2022)
Qichen Xu, Tyler Chen
A posteriori error bounds for the block-Lanczos method for matrix function approximation. CoRR (2022)
Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco
Error Bounds for Lanczos-Based Matrix Function Approximation. SIAM J. Matrix Anal. Appl. 43 (2) (2022)
Tyler Chen, Eric Hallman
Krylov-aware stochastic trace estimation. CoRR (2022)
Raghu Bollapragada, Tyler Chen, Rachel Ward
On the fast convergence of minibatch heavy ball momentum. CoRR (2022)
Anne Greenbaum, Hexuan Liu, Tyler Chen
On the Convergence Rate of Variants of the Conjugate Gradient Algorithm in Finite Precision Arithmetic. SIAM J. Sci. Comput. 43 (5) (2021)
Tyler Chen, Thomas Trogdon, Shashanka Ubaru
Analysis of stochastic Lanczos quadrature for spectrum approximation. CoRR (2021)
Tyler Chen, Thomas Trogdon, Shashanka Ubaru
Analysis of stochastic Lanczos quadrature for spectrum approximation. ICML (2021)
Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco
Error bounds for Lanczos-based matrix function approximation. CoRR (2021)
Tyler Chen, Erin C. Carson
Predict-and-Recompute Conjugate Gradient Variants. SIAM J. Sci. Comput. 42 (5) (2020)
Tyler Chen
Rounding random variables to finite precision. CoRR (2020)
Tyler Chen
Predict-and-recompute conjugate gradient variants. CoRR (2019)
Anne Greenbaum, Hexuan Liu, Tyler Chen
On the Convergence Rate of Variants of the Conjugate Gradient Algorithm in Finite Precision Arithmetic. CoRR (2019)