Tyler Chen - RankMe

48 papers A* 4Journal 42Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Does block size matter in randomized block Krylov low-rank approximation? SODA Tyler Chen, Ethan N. Epperly, Raphael A. Meyer, Christopher Musco, Akash Rao
2026	J	`jnl`	Fixed-Sparsity Matrix Approximation from Matrix-Vector Products. SIAM J. Matrix Anal. Appl. Noah Amsel, Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco
2026	J	`jnl`	Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop. CoRR Noah Amsel, Yves Baumann, Paul Beckman, Peter Bürgisser, Chris Camaño, Tyler Chen, Edmond Chow, Anil Damle, Michal Derezinski, Mark Embree, Ethan N. Epperly, Robert D. Falgout, Mark Fornace, Anne Greenbaum, Chen Greif, Diana Halikias, Zhen Huang, Elias Jarlebring, Yiannis Koutis, Daniel Kressner, Rasmus Kyng, Jörg Liesen, Jackie Lok, Raphael A. Meyer, Yuji Nakatsukasa, Kate Pearce, Richard Peng, David Persson, Elizaveta Rebrova, Ryan Schneider, Rikhav Shah, Edgar Solomonik, Nikhil Srivastava, Alex Townsend, Robert J. Webber, Jess Williams
2025	J	`jnl`	A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values. CoRR Tyler Chen, Akshay Seshadri, Mattia J. Villani, Pradeep Niroula, Shouvanik Chakrabarti, Archan Ray, Pranav Deshpande, Romina Yalovetzky, Marco Pistoia, Niraj Kumar
2025	J	`jnl`	A posteriori error bounds for the block-Lanczos method for matrix function approximation. Numer. Algorithms Qichen Xu, Tyler Chen
2025	J	`jnl`	A simple analysis of a quantum-inspired algorithm for solving low-rank linear systems. CoRR Tyler Chen, Junhyung Lyle Kim, Archan Ray, Shouvanik Chakrabarti, Dylan Herman, Niraj Kumar
2025	J	`jnl`	Does block size matter in randomized block Krylov low-rank approximation? CoRR Tyler Chen, Ethan N. Epperly, Raphael A. Meyer, Christopher Musco, Akash Rao
2025	J	`jnl`	GPU-Parallelizable Randomized Sketch-and-Precondition for Linear Regression using Sparse Sign Sketches. CoRR Tyler Chen, Pradeep Niroula, Archan Ray, Pragna Subrahmanya, Marco Pistoia, Niraj Kumar
2025	A*	`conf`	Near-optimal hierarchical matrix approximation from matrix-vector products. SODA Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco, David Persson
2025	J	`jnl`	Optimal polynomial approximation to rational matrix functions using the Arnoldi algorithm. Numer. Algorithms Tyler Chen, Anne Greenbaum, Natalie Wellen
2025	J	`jnl`	Preconditioning without a preconditioner: faster ridge-regression and Gaussian sampling with randomized block Krylov subspace methods. CoRR Tyler Chen, Caroline Huber, Ethan Lin, Hajar Zaid
2025	J	`jnl`	Provably faster randomized and quantum algorithms for k-means clustering via uniform sampling. CoRR Tyler Chen, Archan Ray, Akshay Seshadri, Dylan Herman, Bao Bach, Pranav Deshpande, Abhishek Som, Niraj Kumar, Marco Pistoia
2025	J	`jnl`	Quasi-optimal hierarchically semi-separable matrix approximation. CoRR Noah Amsel, Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco, David Persson
2025	J	`jnl`	Query Efficient Structured Matrix Learning. CoRR Noah Amsel, Pratyush Avi, Tyler Chen, Feyza Duman Keles, Chinmay Hegde, Cameron Musco, Christopher Musco, David Persson
2025	J	`jnl`	Randomized Matrix-Free Quadrature: Unified and Uniform Bounds for Stochastic Lanczos Quadrature and the Kernel Polynomial Method. SIAM J. Sci. Comput. Tyler Chen, Thomas Trogdon, Shashanka Ubaru
2025	J	`jnl`	Randomized block-Krylov subspace methods for low-rank approximation of matrix functions. CoRR David Persson, Tyler Chen, Christopher Musco
2025	—	`conf`	Revisiting the Link Accessibility Problem in Scholarly Papers with PLoS ONE Papers. JCDL Tyler Chen, Jian Wu
2024	J	`jnl`	Faster Randomized Partial Trace Estimation. SIAM J. Sci. Comput. Tyler Chen, Robert Chen, Kevin Li, Skai Nzeuton, Yilu Pan, Yixin Wang
2024	J	`jnl`	Fixed-sparsity matrix approximation from matrix-vector products. CoRR Noah Amsel, Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco
2024	J	`jnl`	GMRES, pseudospectra, and Crouzeix's conjecture for shifted and scaled Ginibre matrices. Math. Comput. Tyler Chen, Anne Greenbaum, Thomas Trogdon
2024	—	`conf`	Large-scale Outdoor Cell-free mMIMO Channel Measurement in an Urban Scenario at 3.5 GHz. VTC Fall 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
2024	J	`jnl`	Near-optimal convergence of the full orthogonalization method. CoRR Tyler Chen, Gérard Meurant
2024	J	`jnl`	Near-optimal hierarchical matrix approximation from matrix-vector products. CoRR Tyler Chen, Feyza Duman Keles, Diana Halikias, Cameron Musco, Christopher Musco, David Persson
2024	A*	`conf`	Nearly Optimal Approximation of Matrix Functions by the Lanczos Method. NeurIPS Noah Amsel, Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco
2024	J	`jnl`	The Lanczos algorithm for matrix functions: a handbook for scientists. CoRR Tyler Chen
2023	J	`jnl`	A spectrum adaptive kernel polynomial method. CoRR Tyler Chen
2023	J	`jnl`	Faster randomized partial trace estimation. CoRR Tyler Chen, Robert Chen, Kevin Li, Skai Nzeuton, Yilu Pan, Yixin Wang
2023	J	`jnl`	GMRES, pseudospectra, and Crouzeix's conjecture for shifted and scaled Ginibre matrices. CoRR Tyler Chen, Anne Greenbaum, Thomas Trogdon
2023	J	`jnl`	Krylov-Aware Stochastic Trace Estimation. SIAM J. Matrix Anal. Appl. Tyler Chen, Eric Hallman
2023	J	`jnl`	Low-Memory Krylov Subspace Methods for Optimal Rational Matrix Function Approximation. SIAM J. Matrix Anal. Appl. Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco
2023	J	`jnl`	Near-Optimality Guarantees for Approximating Rational Matrix Functions by the Lanczos Method. CoRR Noah Amsel, Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco
2023	J	`jnl`	Optimal Polynomial Approximation to Rational Matrix Functions Using the Arnoldi Algorithm. CoRR Tyler Chen, Anne Greenbaum, Natalie Wellen
2023	J	`jnl`	Stability of the Lanczos algorithm on matrices with regular spectral distributions. CoRR Tyler Chen, Thomas Trogdon
2022	J	`jnl`	A posteriori error bounds for the block-Lanczos method for matrix function approximation. CoRR Qichen Xu, Tyler Chen
2022	J	`jnl`	Error Bounds for Lanczos-Based Matrix Function Approximation. SIAM J. Matrix Anal. Appl. Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco
2022	J	`jnl`	Krylov-aware stochastic trace estimation. CoRR Tyler Chen, Eric Hallman
2022	J	`jnl`	Low-memory Krylov subspace methods for optimal rational matrix function approximation. CoRR Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco
2022	J	`jnl`	Numerical computation of the equilibrium-reduced density matrix for strongly coupled open quantum systems. CoRR Tyler Chen, Yu-Chen Cheng
2022	J	`jnl`	On the fast convergence of minibatch heavy ball momentum. CoRR Raghu Bollapragada, Tyler Chen, Rachel A. Ward
2022	J	`jnl`	Randomized matrix-free quadrature for spectrum and spectral sum approximation. CoRR Tyler Chen, Thomas Trogdon, Shashanka Ubaru
2021	A*	`conf`	Analysis of stochastic Lanczos quadrature for spectrum approximation. ICML Tyler Chen, Thomas Trogdon, Shashanka Ubaru
2021	J	`jnl`	Analysis of stochastic Lanczos quadrature for spectrum approximation. CoRR Tyler Chen, Thomas Trogdon, Shashanka Ubaru
2021	J	`jnl`	Error bounds for Lanczos-based matrix function approximation. CoRR Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco
2021	J	`jnl`	On the Convergence Rate of Variants of the Conjugate Gradient Algorithm in Finite Precision Arithmetic. SIAM J. Sci. Comput. Anne Greenbaum, Hexuan Liu, Tyler Chen
2020	J	`jnl`	Predict-and-Recompute Conjugate Gradient Variants. SIAM J. Sci. Comput. Tyler Chen, Erin Carson
2020	J	`jnl`	Rounding random variables to finite precision. CoRR Tyler Chen
2019	J	`jnl`	On the Convergence Rate of Variants of the Conjugate Gradient Algorithm in Finite Precision Arithmetic. CoRR Anne Greenbaum, Hexuan Liu, Tyler Chen
2019	J	`jnl`	Predict-and-recompute conjugate gradient variants. CoRR Tyler Chen