ICML 2017poster285 citations
Multi-fidelity Bayesian Optimisation with Continuous Approximations
Kirthevasan Kandasamy, Gautam Dasarathy, Jeff Schneider, Barnabás Póczos
Abstract
Bandit methods for black-box optimisation, such as Bayesian optimisation, are used in a variety of applications including hyper-parameter tuning and experiment design. Recently,
BibTeX
@InProceedings{pmlr-v70-kandasamy17a,
title = {Multi-fidelity {B}ayesian Optimisation with Continuous Approximations},
author = {Kirthevasan Kandasamy and Gautam Dasarathy and Jeff Schneider and Barnab{\'a}s P{\'o}czos},
booktitle = {Proceedings of the 34th International Conference on Machine Learning},
pages = {1799--1808},
year = {2017},
editor = {Precup, Doina and Teh, Yee Whye},
volume = {70},
series = {Proceedings of Machine Learning Research},
month = {06--11 Aug},
publisher = {PMLR},
pdf = {http://proceedings.mlr.press/v70/kandasamy17a/kandasamy17a.pdf},
url = {https://proceedings.mlr.press/v70/kandasamy17a.html},
abstract = {Bandit methods for black-box optimisation, such as Bayesian optimisation, are used in a variety of applications including hyper-parameter tuning and experiment design. Recently,