Bobak Shahriari
Title
Cited by
Cited by
Year
Taking the human out of the loop: A review of Bayesian optimization
B Shahriari, K Swersky, Z Wang, RP Adams, N De Freitas
Proceedings of the IEEE 104 (1), 148-175, 2015
21942015
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning
M Hoffman, B Shahriari, N Freitas
Artificial Intelligence and Statistics, 365-374, 2014
107*2014
An entropy search portfolio for Bayesian optimization
B Shahriari, Z Wang, MW Hoffman, A Bouchard-Côté, N de Freitas
arXiv preprint arXiv:1406.4625, 2014
512014
Acme: A research framework for distributed reinforcement learning
M Hoffman, B Shahriari, J Aslanides, G Barth-Maron, F Behbahani, ...
arXiv preprint arXiv:2006.00979, 2020
482020
Unbounded Bayesian optimization via regularization
B Shahriari, A Bouchard-Côté, N Freitas
Artificial intelligence and statistics, 1168-1176, 2016
372016
Critic regularized regression
Z Wang, A Novikov, K Zolna, JT Springenberg, S Reed, B Shahriari, ...
arXiv preprint arXiv:2006.15134, 2020
292020
Do we need “harmless” Bayesian optimization and “first-order” Bayesian optimization
MO Ahmed, B Shahriari, M Schmidt
NIPS BayesOpt, 2016
282016
Modular mechanisms for Bayesian optimization
MW Hoffman, B Shahriari
NIPS workshop on Bayesian optimization, 1-5, 2014
262014
Making efficient use of demonstrations to solve hard exploration problems
TL Paine, C Gulcehre, B Shahriari, M Denil, M Hoffman, H Soyer, ...
arXiv preprint arXiv:1909.01387, 2019
192019
Heteroscedastic treed bayesian optimisation
JAM Assael, Z Wang, B Shahriari, N de Freitas
arXiv preprint arXiv:1410.7172, 2014
172014
Which Learning Algorithms Can Generalize Identity-Based Rules to Novel Inputs?
P Tupper, B Shahriari
arXiv preprint arXiv:1605.04002, 2016
82016
Making efficient use of demonstrations to solve hard exploration problems
C Gulcehre, T Le Paine, B Shahriari, M Denil, M Hoffman, H Soyer, ...
International Conference on Learning Representations, 2019
42019
A combined finite element and Bayesian optimization framework for shape optimization in spectral geometry
S Dominguez, N Nigam, B Shahriari
Computers & Mathematics with Applications 74 (11), 2874-2896, 2017
42017
Practical Bayesian optimization with application to tuning machine learning algorithms
B Shahriari
University of British Columbia, 2016
42016
The modified Cahn-Hilliard equation on general surfaces
B Shahriari
Science: Department of Mathematics, 2010
22010
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning
A Abdolmaleki, SH Huang, G Vezzani, B Shahriari, JT Springenberg, ...
arXiv preprint arXiv:2106.08199, 2021
2021
Bayesian optimization: an introduction, review (and demo)
B Shahriari
2016
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