Ryan P. Adams
TitleCited byYear
Practical bayesian optimization of machine learning algorithms
J Snoek, H Larochelle, RP Adams
Advances in neural information processing systems, 2951-2959, 2012
24162012
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
7592015
Convolutional networks on graphs for learning molecular fingerprints
DK Duvenaud, D Maclaurin, J Iparraguirre, R Bombarell, T Hirzel, ...
Advances in neural information processing systems, 2224-2232, 2015
7242015
Automatic chemical design using a data-driven continuous representation of molecules
R Gómez-Bombarelli, JN Wei, D Duvenaud, JM Hernández-Lobato, ...
ACS central science 4 (2), 268-276, 2018
3942018
Bayesian online changepoint detection
RP Adams, DJC MacKay
arXiv preprint arXiv:0710.3742, 2007
3852007
Elliptical slice sampling
I Murray, R Prescott Adams, DJC MacKay
2992010
Scalable bayesian optimization using deep neural networks
J Snoek, O Rippel, K Swersky, R Kiros, N Satish, N Sundaram, M Patwary, ...
International conference on machine learning, 2171-2180, 2015
2922015
Probabilistic backpropagation for scalable learning of bayesian neural networks
JM Hernández-Lobato, R Adams
International Conference on Machine Learning, 1861-1869, 2015
2692015
Multi-task bayesian optimization
K Swersky, J Snoek, RP Adams
Advances in neural information processing systems, 2004-2012, 2013
2692013
Gaussian process kernels for pattern discovery and extrapolation
A Wilson, R Adams
International Conference on Machine Learning, 1067-1075, 2013
2612013
Gradient-based hyperparameter optimization through reversible learning
D Maclaurin, D Duvenaud, R Adams
International Conference on Machine Learning, 2113-2122, 2015
2462015
Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach
R Gómez-Bombarelli, J Aguilera-Iparraguirre, TD Hirzel, D Duvenaud, ...
Nature materials 15 (10), 1120, 2016
2342016
Composing graphical models with neural networks for structured representations and fast inference
M Johnson, DK Duvenaud, A Wiltschko, RP Adams, SR Datta
Advances in neural information processing systems, 2946-2954, 2016
1832016
Slice sampling covariance hyperparameters of latent Gaussian models
I Murray, RP Adams
Advances in neural information processing systems, 1732-1740, 2010
1782010
Mapping sub-second structure in mouse behavior
AB Wiltschko, MJ Johnson, G Iurilli, RE Peterson, JM Katon, ...
Neuron 88 (6), 1121-1135, 2015
1552015
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
RP Adams, I Murray, DJC MacKay
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
1542009
Quantitative diagnosis of malignant pleural effusions by single-cell mechanophenotyping
TK Henry, DR Gossett, YS Moon, M Masaeli, M Sohsman, Y Ying, ...
Science translational medicine 5 (212), 212ra163-212ra163, 2013
1512013
Tree-structured stick breaking for hierarchical data
RP Adams, Z Ghahramani, MI Jordan
Advances in Neural Information Processing Systems 23, 19-27, 2010
151*2010
Discovering latent network structure in point process data
S Linderman, R Adams
International Conference on Machine Learning, 1413-1421, 2014
1412014
Bayesian optimization with unknown constraints
MA Gelbart, J Snoek, RP Adams
arXiv preprint arXiv:1403.5607, 2014
1302014
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Articles 1–20