James Weldon Demmel

21 papers A 1B 3Journal 17

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization. J. Comput. Graph. Stat. Hengrui Luo, Younghyun Cho, James Weldon Demmel, Xiaoye S. Li, Yang Liu
2024	J	`jnl`	Non-smooth Bayesian optimization in tuning scientific applications. Int. J. High Perform. Comput. Appl. Hengrui Luo, Younghyun Cho, James Weldon Demmel, Igor Kozachenko, Xiaoye S. Li, Yang Liu
2023	A	`conf`	Harnessing the Crowd for Autotuning High-Performance Computing Applications. IPDPS Younghyun Cho, James Weldon Demmel, Jacob King, Xiaoye S. Li, Yang Liu, Hengrui Luo
2023	J	`jnl`	Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems. CoRR Younghyun Cho, James Weldon Demmel, Michal Derezinski, Haoyun Li, Hengrui Luo, Michael W. Mahoney, Riley J. Murray
2022	J	`jnl`	Hybrid Models for Mixed Variables in Bayesian Optimization. CoRR Hengrui Luo, Younghyun Cho, James Weldon Demmel, Xiaoye S. Li, Yang Liu
2021	B	`conf`	GPTune: multitask learning for autotuning exascale applications. PPoPP Yang Liu, Wissam M. Sid-Lakhdar, Osni Marques, Xinran Zhu, Chang Meng, James Weldon Demmel, Xiaoye S. Li
2021	J	`jnl`	Non-smooth Bayesian Optimization in Tuning Problems. CoRR Hengrui Luo, James Weldon Demmel, Younghyun Cho, Xiaoye S. Li, Yang Liu
2019	J	`jnl`	Multitask and Transfer Learning for Autotuning Exascale Applications. CoRR Wissam M. Sid-Lakhdar, Mohsen Mahmoudi Aznaveh, Xiaoye S. Li, James Weldon Demmel
2018	J	`jnl`	Low Rank Approximation of a Sparse Matrix Based on LU Factorization with Column and Row Tournament Pivoting. SIAM J. Sci. Comput. Laura Grigori, Sébastien Cayrols, James Weldon Demmel
2015	J	`jnl`	Accuracy of the s-Step Lanczos Method for the Symmetric Eigenproblem in Finite Precision. SIAM J. Matrix Anal. Appl. Erin Carson, James Weldon Demmel
2005	B	`conf`	Second-order backpropagation algorithms for a stagewise-partitioned separable Hessian matrix. IJCNN Eiji Mizutani, Stuart E. Dreyfus, James Weldon Demmel
2003	B	`conf`	On sparsity-exploiting memory-efficient trust-region regularized nonlinear least squares algorithms for neural-network learning. IJCNN Eiji Mizutani, James Weldon Demmel
2000	J	`jnl`	Computing Connecting Orbits via an Improved Algorithm for Continuing Invariant Subspaces. SIAM J. Sci. Comput. James Weldon Demmel, Luca Dieci, Mark J. Friedman
1999	J	`jnl`	A Supernodal Approach to Sparse Partial Pivoting. SIAM J. Matrix Anal. Appl. James Weldon Demmel, Stanley C. Eisenstat, John R. Gilbert, Xiaoye S. Li, Joseph W. H. Liu
1999	J	`jnl`	An Asynchronous Parallel Supernodal Algorithm for Sparse Gaussian Elimination. SIAM J. Matrix Anal. Appl. James Weldon Demmel, John R. Gilbert, Xiaoye S. Li
1995	J	`jnl`	Stability of block Numer. Linear Algebra Appl. James Weldon Demmel, Nicholas J. Higham, Robert S. Schreiber
1993	J	`jnl`	Computing the Generalized Singular Value Decomposition. SIAM J. Sci. Comput. Zhaojun Bai, James Weldon Demmel
1993	J	`jnl`	Improved Error Bounds for Underdetermined System Solvers. SIAM J. Matrix Anal. Appl. James Weldon Demmel, Nicholas J. Higham
1990	J	`jnl`	Matrix Computations; Second Edition (Gene Golub and Charles F. Van Loan). SIAM Rev. James Weldon Demmel
1987	J	`jnl`	Three methods for refining estimates of invariant subspaces. Computing James Weldon Demmel
1985	J	`jnl`	An interval algorithm for solving systems of linear equations to prespecified accuracy. Computing James Weldon Demmel, Fritz Krückeberg