Jacob Gardner
Jacob Gardner
Uber AI Labs
Verified email at uber.com - Homepage
Cited by
Cited by
Bayesian Optimization with Inequality Constraints.
JR Gardner, MJ Kusner, ZE Xu, KQ Weinberger, JP Cunningham
ICML, 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
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
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
Simple black-box adversarial attacks
C Guo, JR Gardner, Y You, AG Wilson, KQ Weinberger
International Conference on Machine Learning, 2019
Differentially private Bayesian optimization
M Kusner, J Gardner, R Garnett, K Weinberger
International conference on machine learning, 918-927, 2015
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
Fast, continuous audiogram estimation using machine learning
XD Song, BM Wallace, JR Gardner, NM Ledbetter, KQ Weinberger, ...
Ear and hearing 36 (6), e326, 2015
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
Product kernel interpolation for scalable Gaussian processes
JR Gardner, G Pleiss, R Wu, KQ Weinberger, AG Wilson
Artificial Intelligence and Statistics, 2018
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, 14622-14632, 2019
Psychophysical Detection Testing with Bayesian Active Learning.
JR Gardner, X Song, KQ Weinberger, DL Barbour, JP Cunningham
UAI, 286-295, 2015
Constant-time predictive distributions for Gaussian processes
G Pleiss, JR Gardner, KQ Weinberger, AG Wilson
arXiv preprint arXiv:1803.06058, 2018
Compressed support vector machines
Z Xu, JR Gardner, S Tyree, KQ Weinberger
arXiv preprint arXiv:1501.06478, 2015
Parametric Gaussian Process Regressors
M Jankowiak, G Pleiss, JR Gardner
arXiv preprint arXiv:1910.07123, 2020
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
Deep Sigma Point Processes
M Jankowiak, G Pleiss, JR Gardner
arXiv preprint arXiv:2002.09112, 2020
Neural Likelihoods for Multi-Output Gaussian Processes
M Jankowiak, J Gardner
arXiv preprint arXiv:1905.13697, 2019
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