Jacob Gardner
Jacob Gardner
Uber AI Labs
Email verificata su uber.com - Home page
TitoloCitata daAnno
Bayesian Optimization with Inequality Constraints.
JR Gardner, MJ Kusner, ZE Xu, KQ Weinberger, JP Cunningham
ICML, 937-945, 2014
1422014
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
972017
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
462015
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
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
362015
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
332018
Differentially private Bayesian optimization
M Kusner, J Gardner, R Garnett, K Weinberger
International Conference on Machine Learning, 918-927, 2015
252015
Parallel support vector machines in practice
S Tyree, JR Gardner, KQ Weinberger, K Agrawal, J Tran
arXiv preprint arXiv:1404.1066, 2014
242014
Fast, continuous audiogram estimation using machine learning
XD Song, BM Wallace, JR Gardner, NM Ledbetter, KQ Weinberger, ...
Ear and hearing 36 (6), e326, 2015
212015
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
192017
Product kernel interpolation for scalable Gaussian processes
JR Gardner, G Pleiss, R Wu, KQ Weinberger, AG Wilson
arXiv preprint arXiv:1802.08903, 2018
182018
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
162015
Psychophysical Detection Testing with Bayesian Active Learning.
JR Gardner, X Song, KQ Weinberger, DL Barbour, JP Cunningham
UAI, 286-295, 2015
152015
Constant-time predictive distributions for Gaussian processes
G Pleiss, JR Gardner, KQ Weinberger, AG Wilson
arXiv preprint arXiv:1803.06058, 2018
112018
Exact Gaussian Processes on a Million Data Points
KA Wang, G Pleiss, JR Gardner, S Tyree, KQ Weinberger, AG Wilson
arXiv preprint arXiv:1903.08114, 2019
82019
Simple black-box adversarial attacks
C Guo, JR Gardner, Y You, AG Wilson, KQ Weinberger
arXiv preprint arXiv:1905.07121, 2019
62019
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
22014
Sparse Gaussian Process Regression Beyond Variational Inference
M Jankowiak, G Pleiss, JR Gardner
arXiv preprint arXiv:1910.07123, 2019
2019
Neural Likelihoods for Multi-Output Gaussian Processes
M Jankowiak, J Gardner
arXiv preprint arXiv:1905.13697, 2019
2019
Scalable Global Optimization via Local Bayesian Optimization
D Eriksson, M Pearce, J Gardner, RD Turner, M Poloczek
Advances in Neural Information Processing Systems, 5497-5508, 2019
2019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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