Jacob Gardner
Jacob Gardner
Email verificata su seas.upenn.edu - Home page
Citata da
Citata da
Bayesian Optimization with Inequality Constraints.
JR Gardner, MJ Kusner, ZE Xu, KQ Weinberger, JP Cunningham
ICML 2014, 937-945, 2014
Deep feature interpolation for image content changes
P Upchurch, J Gardner, G Pleiss, R Pless, N Snavely, K Bala, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Gpytorch: Blackbox matrix-matrix gaussian process inference with gpu acceleration
J Gardner, G Pleiss, KQ Weinberger, D Bindel, AG Wilson
Advances in Neural Information Processing Systems, 7576-7586, 2018
Simple black-box adversarial attacks
C Guo, JR Gardner, Y You, AG Wilson, KQ Weinberger
International Conference on Machine Learning, 2019
Deep manifold traversal: Changing labels with convolutional features
JR Gardner, P Upchurch, MJ Kusner, Y Li, KQ Weinberger, K Bala, ...
arXiv preprint arXiv:1511.06421, 2015
Exact Gaussian processes on a million data points
K Wang, G Pleiss, J Gardner, S Tyree, KQ Weinberger, AG Wilson
Advances in Neural Information Processing Systems, 14648-14659, 2019
A reduction of the elastic net to support vector machines with an application to gpu computing
Q Zhou, W Chen, S Song, JR Gardner, KQ Weinberger, Y Chen
arXiv preprint arXiv:1409.1976, 2014
Discovering and exploiting additive structure for Bayesian optimization
J Gardner, C Guo, K Weinberger, R Garnett, R Grosse
Artificial Intelligence and Statistics, 1311-1319, 2017
Differentially private Bayesian optimization
M Kusner, J Gardner, R Garnett, K Weinberger
International conference on machine learning, 918-927, 2015
Fast, continuous audiogram estimation using machine learning
XD Song, BM Wallace, JR Gardner, NM Ledbetter, KQ Weinberger, ...
Ear and hearing 36 (6), e326, 2015
Product kernel interpolation for scalable Gaussian processes
JR Gardner, G Pleiss, R Wu, KQ Weinberger, AG Wilson
Artificial Intelligence and Statistics, 2018
Bayesian active model selection with an application to automated audiometry
J Gardner, G Malkomes, R Garnett, KQ Weinberger, D Barbour, ...
Advances in neural information processing systems, 2386-2394, 2015
Parallel support vector machines in practice
S Tyree, JR Gardner, KQ Weinberger, K Agrawal, J Tran
arXiv preprint arXiv:1404.1066, 2014
Constant-time predictive distributions for Gaussian processes
G Pleiss, JR Gardner, KQ Weinberger, AG Wilson
arXiv preprint arXiv:1803.06058, 2018
Psychophysical Detection Testing with Bayesian Active Learning.
JR Gardner, X Song, KQ Weinberger, DL Barbour, JP Cunningham
UAI, 286-295, 2015
Scalable global optimization via local bayesian optimization
D Eriksson, M Pearce, J Gardner, RD Turner, M Poloczek
Advances in Neural Information Processing Systems, 5496-5507, 2019
Parametric Gaussian Process Regressors
M Jankowiak, G Pleiss, JR Gardner
arXiv preprint arXiv:1910.07123, 2020
Compressed support vector machines
Z Xu, JR Gardner, S Tyree, KQ Weinberger
arXiv preprint arXiv:1501.06478, 2015
WOODSTOCC: Extracting latent parallelism from a DNA sequence aligner on a GPU
SV Cole, JR Gardner, JD Buhler
2014 IEEE 13th International Symposium on Parallel and Distributed Computing …, 2014
Fast matrix square roots with applications to Gaussian processes and Bayesian optimization
G Pleiss, M Jankowiak, D Eriksson, A Damle, JR Gardner
arXiv preprint arXiv:2006.11267, 2020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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