Local Latent Space Bayesian Optimization over Structured Inputs [Paper]
Natalie Maus, Haydn T Jones, Juston S Moore, Matt J Kusner, John Bradshaw, Jacob R Gardner
Neural Information Processing Systems (NeurIPS 2022).
Discovering Many Diverse Solutions with Bayesian Optimization [Paper]
Natalie Maus, Kaiwen Wu, David Eriksson, Jacob Gardner
Artificial Intelligence and Statistics (AISTATS 2023). Notable paper.
The Behavior and Convergence of Local Bayesian Optimization [Paper]
Kaiwen Wu, Kyurae Kim, Roman Garnett, Jacob R. Gardner
Neural Information Processing Systems (NeurIPS 2023).Spotlight.
On the Convergence of Black-Box Variational Inference [Paper]
Kyurae Kim, Jisu Oh, Kaiwen Wu, Yian Ma, Jacob R. Gardner
Neural Information Processing Systems (NeurIPS 2023).
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference. [Paper]
Kyurae Kim, Kaiwen Wu, Jisu Oh, Jacob R. Gardner
International Conference on Machine Learning (ICML 2023). Oral.
Local Bayesian optimization via maximizing probability of descent [Paper]
Quan Nguyen, Kaiwen Wu, Jacob R Gardner, Roman Garnett
Neural Information Processing Systems (NeurIPS 2022). Oral.
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization [Paper]
Jonathan Wenger, Geoff Pleiss, Philipp Hennig, John P Cunningham, Jacob R Gardner
International Conference on Machine Learning (ICML 2022). Long talk.
Simple Blackbox Adversarial Attacks [Paper]
Chuan Guo, Jacob R. Gardner, Yurong You, Andrew G. Wilson, Kilian Q. Weinberger
International Conference on Machine Learning (ICML 2019).
Scalable Global Optimization via Local Bayesian Optimization [Paper]
David Eriksson, Michael Pearce, Jacob R. Gardner, Ryan Turner, Matthias Poloczek
Neurial Information Processing Systems (NeurIPS 2019) Spotlight.
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration [Paper]
Jacob R. Gardner, Geoff Pleiss, Kilian Q. Weinberger, David Bindel, Andrew G. Wilson
Neurial Information Processing Systems (NeurIPS 2018). Spotlight.
Bayesian Optimization with Inequality Constraints. [Paper]
Jacob R. Gardner, Matt J. Kusner, Zhixiang Xu, Kilian Q. Weinberger, John P. Cunningham
International Conference on Machine Learning (ICML 2014)