| On the fast convergence of minibatch heavy ball momentum R Bollapragada, T Chen, R Ward IMA Journal of Numerical Analysis, drae033, 2024 | 29 | 2024 |
| Krylov-aware stochastic trace estimation T Chen, E Hallman SIAM Journal on Matrix Analysis and Applications 44 (3), 1218-1244, 2023 | 28 | 2023 |
| Analysis of stochastic Lanczos quadrature for spectrum approximation T Chen, T Trogdon, S Ubaru Proceedings of the 38th International Conference on Machine Learning 139 …, 2021 | 19 | 2021 |
| Randomized matrix-free quadrature: unified and uniform bounds for stochastic Lanczos quadrature and the kernel polynomial method T Chen, T Trogdon, S Ubaru arXiv preprint arXiv:2204.01941, 2022 | 15* | 2022 |
| Error bounds for Lanczos-based matrix function approximation T Chen, A Greenbaum, C Musco, C Musco SIAM Journal on Matrix Analysis and Applications 43 (2), 787-811, 2022 | 15 | 2022 |
| Predict-and-recompute conjugate gradient variants T Chen, E Carson SIAM Journal on Scientific Computing 42 (5), A3084-A3108, 2020 | 11 | 2020 |
| Numerical computation of the equilibrium-reduced density matrix for strongly coupled open quantum systems T Chen, YC Cheng The Journal of Chemical Physics 157 (6), 064106, 2022 | 10 | 2022 |
| Nearly optimal approximation of matrix functions by the Lanczos method N Amsel, T Chen, A Greenbaum, C Musco, C Musco Advances in Neural Information Processing Systems 37, 139823-139853, 2024 | 8* | 2024 |
| Low-memory Krylov subspace methods for optimal rational matrix function approximation T Chen, A Greenbaum, C Musco, C Musco SIAM Journal on Matrix Analysis and Applications 44 (2), 670-692, 2023 | 8 | 2023 |
| On the convergence rate of variants of the conjugate gradient algorithm in finite precision arithmetic A Greenbaum, H Liu, T Chen SIAM Journal on Scientific Computing 43 (5), S496-S515, 2021 | 8 | 2021 |
| A spectrum adaptive kernel polynomial method T Chen The Journal of Chemical Physics 159 (11), 114101, 2023 | 4 | 2023 |
| GMRES, pseudospectra, and Crouzeix’s conjecture for shifted and scaled Ginibre matrices T Chen, A Greenbaum, T Trogdon Mathematics of Computation 94 (351), 241-261, 2025 | 3 | 2025 |
| Near-optimal convergence of the full orthogonalization method T Chen, G Meurant Electronic Transactions on Numerical Analysis. 60, 421-427, 2024 | 3 | 2024 |
| Fixed-sparsity matrix approximation from matrix-vector products N Amsel, T Chen, F Duman Keles, D Halikias, C Musco, C Musco arXiv preprint arXiv:2402.09379, 2024 | 3 | 2024 |
| Stability of the Lanczos algorithm on matrices with regular spectral distributions T Chen, T Trogdon Linear Algebra and its Applications 682, 191-237, 2024 | 3 | 2024 |
| Optimal polynomial approximation to rational matrix functions using the Arnoldi algorithm T Chen, A Greenbaum, N Wellen arXiv preprint arXiv:2306.17308, 2023 | 3 | 2023 |
| Lanczos-based methods for matrix functions T Chen University of Washington, 2022 | 3 | 2022 |
| Randomized block-Krylov subspace methods for low-rank approximation of matrix functions D Persson, T Chen, C Musco arXiv preprint arXiv:2502.01888, 2025 | 2 | 2025 |
| Near-optimal hierarchical matrix approximation from matrix-vector products T Chen, FD Keles, D Halikias, C Musco, C Musco, D Persson Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2025 | 2 | 2025 |
| The Lanczos algorithm for matrix functions: a handbook for scientists T Chen arXiv preprint arXiv:2410.11090, 2024 | 2 | 2024 |
Anne GreenbaumProfessor of Applied Math, University of WashingtonE-mail confirmado em uw.edu