James Weldon Demmel

21 papers A 1B 3Journal 17
YearRankTypeTitle / 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