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
16522015
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
802014
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
422014
Unbounded Bayesian optimization via regularization
B Shahriari, A Bouchard-Côté, N Freitas
Artificial intelligence and statistics, 1168-1176, 2016
322016
Modular mechanisms for Bayesian optimization
MW Hoffman, B Shahriari
NIPS workshop on Bayesian optimization, 1-5, 2014
262014
Do we need “harmless” Bayesian optimization and “first-order” Bayesian optimization
MO Ahmed, B Shahriari, M Schmidt
NIPS BayesOpt, 2016
252016
Heteroscedastic treed bayesian optimisation
JAM Assael, Z Wang, B Shahriari, N de Freitas
arXiv preprint arXiv:1410.7172, 2014
162014
Exploiting correlation and budget constraints in bayesian multi-armed bandit optimization
MW Hoffman, B Shahriari, N de Freitas
arXiv preprint arXiv:1303.6746, 2013
132013
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
122019
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
92020
Which Learning Algorithms Can Generalize Identity-Based Rules to Novel Inputs?
P Tupper, B Shahriari
arXiv preprint arXiv:1605.04002, 2016
62016
Critic regularized regression
Z Wang, A Novikov, K Zolna, JS Merel, JT Springenberg, SE Reed, ...
Advances in Neural Information Processing Systems 33, 2020
42020
Practical Bayesian optimization with application to tuning machine learning algorithms
B Shahriari
University of British Columbia, 2016
42016
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
22017
The modified Cahn-Hilliard equation on general surfaces
B Shahriari
Science: Department of Mathematics, 2010
22010
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
2019
Bayesian optimization: an introduction, review (and demo)
B Shahriari
2016
On correlation and budget constraints in model− based bandit optimization with application to automatic machine learning
B Shahriari, M Hoffman, N de Freitas
2014
ON THE GLOBAL OPTIMALITY OF THE REGULAR PENTAGON FOR THE DIRICHLET EIGENVALUE PROBLEM
S DOMINGUEZ, N NIGAM, B SHAHRIARI
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