Tyler Chen

According to our database, Tyler Chen authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Near-optimal hierarchical matrix approximation from matrix-vector products.

Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco, David Persson

CoRR, 2024

Near-optimal convergence of the full orthogonalization method.

Tyler Chen, Gérard Meurant

CoRR, 2024

Fixed-sparsity matrix approximation from matrix-vector products.

Noah Amsel, Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco

CoRR, 2024

2023

Krylov-Aware Stochastic Trace Estimation.

Tyler Chen, Eric Hallman

SIAM J. Matrix Anal. Appl., September, 2023

Low-Memory Krylov Subspace Methods for Optimal Rational Matrix Function Approximation.

Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco

SIAM J. Matrix Anal. Appl., June, 2023

Faster randomized partial trace estimation.

Tyler Chen, Robert Chen, Kevin Li, Skai Nzeuton, Yilu Pan, Yixin Wang

CoRR, 2023

A spectrum adaptive kernel polynomial method.

Tyler Chen

CoRR, 2023

Optimal Polynomial Approximation to Rational Matrix Functions Using the Arnoldi Algorithm.

Tyler Chen, Anne Greenbaum, Natalie Wellen

CoRR, 2023

Near-Optimality Guarantees for Approximating Rational Matrix Functions by the Lanczos Method.

Noah Amsel, Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco

CoRR, 2023

GMRES, pseudospectra, and Crouzeix's conjecture for shifted and scaled Ginibre matrices.

Tyler Chen, Anne Greenbaum, Thomas Trogdon

CoRR, 2023

Stability of the Lanczos algorithm on matrices with regular spectral distributions.

Tyler Chen, Thomas Trogdon

CoRR, 2023

2022

Error Bounds for Lanczos-Based Matrix Function Approximation.

Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco

SIAM J. Matrix Anal. Appl., 2022

A posteriori error bounds for the block-Lanczos method for matrix function approximation.

Qichen Xu, Tyler Chen

CoRR, 2022

On the fast convergence of minibatch heavy ball momentum.

Raghu Bollapragada, Tyler Chen, Rachel A. Ward

CoRR, 2022

Numerical computation of the equilibrium-reduced density matrix for strongly coupled open quantum systems.

Tyler Chen, Yu-Chen Cheng

CoRR, 2022

Randomized matrix-free quadrature for spectrum and spectral sum approximation.

Tyler Chen, Thomas Trogdon, Shashanka Ubaru

CoRR, 2022

2021

On the Convergence Rate of Variants of the Conjugate Gradient Algorithm in Finite Precision Arithmetic.

Anne Greenbaum, Hexuan Liu, Tyler Chen

SIAM J. Sci. Comput., 2021

Analysis of stochastic Lanczos quadrature for spectrum approximation.

Tyler Chen, Thomas Trogdon, Shashanka Ubaru

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Predict-and-Recompute Conjugate Gradient Variants.

Tyler Chen, Erin C. Carson

SIAM J. Sci. Comput., 2020

Rounding random variables to finite precision.

Tyler Chen

CoRR, 2020

2019

Predict-and-recompute conjugate gradient variants.

Tyler Chen

CoRR, 2019