متابعة
Jacob Gardner
Jacob Gardner
University of Pennsylvania
بريد إلكتروني تم التحقق منه على seas.upenn.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Gpytorch: Blackbox matrix-matrix gaussian process inference with gpu acceleration‏
JR Gardner, G Pleiss, D Bindel, KQ Weinberger, AG Wilson‏
Advances in Neural Information Processing Systems, 2018‏
14272018
Simple black-box adversarial attacks‏
C Guo, JR Gardner, Y You, AG Wilson, KQ Weinberger‏
International Conference on Machine Learning, 2019‏
6852019
Bayesian Optimization with Inequality Constraints.‏
JR Gardner, MJ Kusner, ZE Xu, KQ Weinberger, JP Cunningham‏
ICML 2014, 937-945, 2014‏
6362014
Scalable global optimization via local bayesian optimization‏
D Eriksson, M Pearce, JR Gardner, R Turner, M Poloczek‏
Advances in Neural Information Processing Systems, 2019‏
5832019
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
3782017
Exact Gaussian processes on a million data points‏
KA Wang, G Pleiss, JR Gardner, S Tyree, KQ Weinberger, AG Wilson‏
Advances in Neural Information Processing Systems, 2019‏
2912019
Constant-time predictive distributions for Gaussian processes‏
G Pleiss, JR Gardner, KQ Weinberger, AG Wilson‏
International Conference on Machine Learning, 2018‏
1342018
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
1322017
Adversarial prompting for black box foundation models‏
N Maus, P Chao, E Wong, J Gardner‏
arXiv preprint arXiv:2302.04237 1 (2), 2023‏
102*2023
Learning performance-improving code edits‏
A Shypula, A Madaan, Y Zeng, U Alon, J Gardner, M Hashemi, G Neubig, ...‏
International Conference on Learning Representations, 2024‏
1002024
Parametric Gaussian Process Regressors‏
M Jankowiak, G Pleiss, JR Gardner‏
International Conference on Machine Learning, 2020‏
982020
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
912015
Product kernel interpolation for scalable Gaussian processes‏
JR Gardner, G Pleiss, R Wu, KQ Weinberger, AG Wilson‏
Artificial Intelligence and Statistics, 2018‏
902018
Local Latent Space Bayesian Optimization over Structured Inputs‏
N Maus, HT Jones, JS Moore, MJ Kusner, J Bradshaw, JR Gardner‏
Advances in Neural Information Processing Systems, 2022‏
782022
Fast, continuous audiogram estimation using machine learning‏
XD Song, BM Wallace, JR Gardner, NM Ledbetter, KQ Weinberger, ...‏
Ear and hearing 36 (6), e326-e335, 2015‏
732015
Differentially private Bayesian optimization‏
M Kusner, J Gardner, R Garnett, K Weinberger‏
International conference on machine learning, 918-927, 2015‏
692015
A reduction of the elastic net to support vector machines with an application to GPU computing‏
Q Zhou, W Chen, S Song, J Gardner, K Weinberger, Y Chen‏
Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015‏
632015
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
602020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees‏
S Jiang, DR Jiang, M Balandat, B Karrer, JR Gardner, R Garnett‏
Advances in Neural Information Processing Systems, 2020‏
592020
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 28, 2015‏
542015
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مقالات 1–20