3 citations · 3 across the 1 of their papers we have counts for
3 papers
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…
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…