3 citations · 3 across the 4 of their papers we have counts for
5 papers
Adaptive Sketching Based Construction of H2 Matrices on GPUs
Wajih Halim Boukaram, Yang Liu, Pieter Ghysels +1
We develop a novel linear-complexity bottom-up sketching-based algorithm for constructing a matrix, and present its high performance GPU implementation. The construction algo…
Non-smooth Bayesian Optimization in Tuning Problems
Hengrui Luo, James W. Demmel, Younghyun Cho +2
Building surrogate models is one common approach when we attempt to learn unknown black-box functions. Bayesian optimization provides a framework which allows us to build surrogate…
Sparse Approximate Multifrontal Factorization with Butterfly Compression for High Frequency Wave Equations
Yang Liu, Pieter Ghysels, Lisa Claus +1
We present a fast and approximate multifrontal solver for large-scale sparse linear systems arising from finite-difference, finite-volume or finite-element discretization of high-f…
A Parallel Hierarchical Blocked Adaptive Cross Approximation Algorithm
Yang Liu, Wissam Sid-Lakhdar, Elizaveta Rebrova +2
This paper presents a hierarchical low-rank decomposition algorithm assuming any matrix element can be computed in time. The proposed algorithm computes rank-revealing decom…
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression
Elizaveta Rebrova, Gustavo Chavez, Yang Liu +2
We present memory-efficient and scalable algorithms for kernel methods used in machine learning. Using hierarchical matrix approximations for the kernel matrix the memory requireme…