Jacob Gardner
Jacob Gardner
seas.upenn.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Bayesian Optimization with Inequality Constraints.
JR Gardner, MJ Kusner, ZE Xu, KQ Weinberger, JP Cunningham
ICML 2014, 937-945, 2014
2102014
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
1562017
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
1512018
Simple black-box adversarial attacks
C Guo, JR Gardner, Y You, AG Wilson, KQ Weinberger
International Conference on Machine Learning, 2019
902019
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
552015
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
482019
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
412017
Differentially private Bayesian optimization
M Kusner, J Gardner, R Garnett, K Weinberger
International conference on machine learning, 918-927, 2015
392015
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
362014
Fast, continuous audiogram estimation using machine learning
XD Song, BM Wallace, JR Gardner, NM Ledbetter, KQ Weinberger, ...
Ear and hearing 36 (6), e326, 2015
342015
Product kernel interpolation for scalable Gaussian processes
JR Gardner, G Pleiss, R Wu, KQ Weinberger, AG Wilson
Artificial Intelligence and Statistics, 2018
312018
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
292015
Constant-time predictive distributions for Gaussian processes
G Pleiss, JR Gardner, KQ Weinberger, AG Wilson
International Conference on Machine Learning, 2018
272018
Parallel support vector machines in practice
S Tyree, JR Gardner, KQ Weinberger, K Agrawal, J Tran
arXiv preprint arXiv:1404.1066, 2014
252014
Psychophysical Detection Testing with Bayesian Active Learning.
JR Gardner, X Song, KQ Weinberger, DL Barbour, JP Cunningham
UAI, 286-295, 2015
192015
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
172019
Parametric Gaussian Process Regressors
M Jankowiak, G Pleiss, JR Gardner
International Conference on Machine Learning, 2020
7*2020
Compressed support vector machines
Z Xu, JR Gardner, S Tyree, KQ Weinberger
arXiv preprint arXiv:1501.06478, 2015
42015
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
32014
Fast matrix square roots with applications to Gaussian processes and Bayesian optimization
G Pleiss, M Jankowiak, D Eriksson, A Damle, JR Gardner
Advances in Neural Information Processing Systems, 2020
22020
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Makaleler 1–20