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Tyler Chen
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2020 – today
- 2024
- [j7]Tyler Chen, Anne Greenbaum, Thomas Trogdon:
GMRES, pseudospectra, and Crouzeix's conjecture for shifted and scaled Ginibre matrices. Math. Comput. 94(351): 241-261 (2024) - [j6]Tyler Chen, Robert Chen, Kevin Li, Skai Nzeuton, Yilu Pan, Yixin Wang:
Faster Randomized Partial Trace Estimation. SIAM J. Sci. Comput. 46(6): 3427- (2024) - [c2]Yuning Zhang, Thomas Choi, Zihang Cheng, Issei Kanno, Masaaki Ito, Jorge Gomez-Ponce, Hussein Hammoud, Bowei Wu, Ashwani Pradhan, Kelvin Arana, Pramod Krishna, Tianyi Yang, Tyler Chen, Ishita Vasishtha, Haoyu Xie, Linyu Sun, Andreas F. Molisch:
Large-scale Outdoor Cell-free mMIMO Channel Measurement in an Urban Scenario at 3.5 GHz. VTC Fall 2024: 1-6 - [i21]Noah Amsel, Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco:
Fixed-sparsity matrix approximation from matrix-vector products. CoRR abs/2402.09379 (2024) - [i20]Tyler Chen, Gérard Meurant:
Near-optimal convergence of the full orthogonalization method. CoRR abs/2403.07259 (2024) - [i19]Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco, David Persson:
Near-optimal hierarchical matrix approximation from matrix-vector products. CoRR abs/2407.04686 (2024) - [i18]Tyler Chen:
The Lanczos algorithm for matrix functions: a handbook for scientists. CoRR abs/2410.11090 (2024) - 2023
- [j5]Tyler Chen
, Anne Greenbaum
Low-Memory Krylov Subspace Methods for Optimal Rational Matrix Function Approximation. SIAM J. Matrix Anal. Appl. 44(2): 670-692 (2023) - [j4]Tyler Chen
Krylov-Aware Stochastic Trace Estimation. SIAM J. Matrix Anal. Appl. 44(3): 1218-1244 (2023) - [i17]Tyler Chen, Thomas Trogdon:
Stability of the Lanczos algorithm on matrices with regular spectral distributions. CoRR abs/2302.14842 (2023) - [i16]Tyler Chen, Anne Greenbaum, Thomas Trogdon:
GMRES, pseudospectra, and Crouzeix's conjecture for shifted and scaled Ginibre matrices. CoRR abs/2303.02042 (2023) - [i15]Noah Amsel, Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco:
Near-Optimality Guarantees for Approximating Rational Matrix Functions by the Lanczos Method. CoRR abs/2303.03358 (2023) - [i14]Tyler Chen, Anne Greenbaum, Natalie Wellen:
Optimal Polynomial Approximation to Rational Matrix Functions Using the Arnoldi Algorithm. CoRR abs/2306.17308 (2023) - [i13]Tyler Chen:
A spectrum adaptive kernel polynomial method. CoRR abs/2308.15683 (2023) - [i12]Tyler Chen, Robert Chen, Kevin Li, Skai Nzeuton, Yilu Pan, Yixin Wang:
Faster randomized partial trace estimation. CoRR abs/2310.12364 (2023) - 2022
- [j3]Tyler Chen
Error Bounds for Lanczos-Based Matrix Function Approximation. SIAM J. Matrix Anal. Appl. 43(2): 787-811 (2022) - [i11]Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco:
Low-memory Krylov subspace methods for optimal rational matrix function approximation. CoRR abs/2202.11251 (2022) - [i10]Tyler Chen, Thomas Trogdon, Shashanka Ubaru:
Randomized matrix-free quadrature for spectrum and spectral sum approximation. CoRR abs/2204.01941 (2022) - [i9]Tyler Chen, Yu-Chen Cheng:
Numerical computation of the equilibrium-reduced density matrix for strongly coupled open quantum systems. CoRR abs/2204.08147 (2022) - [i8]Tyler Chen, Eric Hallman:
Krylov-aware stochastic trace estimation. CoRR abs/2205.01736 (2022) - [i7]Raghu Bollapragada, Tyler Chen, Rachel A. Ward:
On the fast convergence of minibatch heavy ball momentum. CoRR abs/2206.07553 (2022) - [i6]Qichen Xu, Tyler Chen:
A posteriori error bounds for the block-Lanczos method for matrix function approximation. CoRR abs/2211.15643 (2022) - 2021
- [j2]Anne Greenbaum
On the Convergence Rate of Variants of the Conjugate Gradient Algorithm in Finite Precision Arithmetic. SIAM J. Sci. Comput. 43(5): S496-S515 (2021) - [c1]Tyler Chen, Thomas Trogdon, Shashanka Ubaru:
Analysis of stochastic Lanczos quadrature for spectrum approximation. ICML 2021: 1728-1739 - [i5]Tyler Chen, Thomas Trogdon, Shashanka Ubaru:
Analysis of stochastic Lanczos quadrature for spectrum approximation. CoRR abs/2105.06595 (2021) - [i4]Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco:
Error bounds for Lanczos-based matrix function approximation. CoRR abs/2106.09806 (2021) - 2020
- [j1]Tyler Chen
Predict-and-Recompute Conjugate Gradient Variants. SIAM J. Sci. Comput. 42(5): A3084-A3108 (2020) - [i3]Tyler Chen:
Rounding random variables to finite precision. CoRR abs/2007.11041 (2020)
2010 – 2019
- 2019
- [i2]Tyler Chen:
Predict-and-recompute conjugate gradient variants. CoRR abs/1905.01549 (2019) - [i1]Anne Greenbaum, Hexuan Liu
On the Convergence Rate of Variants of the Conjugate Gradient Algorithm in Finite Precision Arithmetic. CoRR abs/1905.05874 (2019)
Coauthor Index
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