3 citations · 3 across the 2 of their papers we have counts for
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cs.LG2021★ 3 cited
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…
cs.LG2018
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…