Jacob Gardner
University of Pennsylvania
H-index: 22
North America-United States
Top articles of Jacob Gardner
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Provably Scalable Black-Box Variational Inference with Structured Variational Families | arXiv preprint arXiv:2401.10989 | Joohwan Ko Kyurae Kim Woo Chang Kim Jacob R Gardner | 2024/1/19 |
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? | Kyurae Kim Yian Ma Jacob Gardner | 2024/4/18 | |
Contrast response function estimation with nonparametric Bayesian active learning | Journal of Vision | Dom CP Marticorena Quinn Wai Wong Jake Browning Ken Wilbur Samyukta Jayakumar | 2024/1/2 |
Variational Gaussian Processes with Decoupled Conditionals | Advances in Neural Information Processing Systems | Xinran Zhu Kaiwen Wu Natalie Maus Jacob Gardner David Bindel | 2024/2/13 |
Active Mutual Conjoint Estimation of Multiple Contrast Sensitivity Functions | medRxiv | Dom CP Marticorena Quinn Wai Wong Jake Browning Ken Wilbur Pinakin Gunvant Davey | 2024 |
On the convergence of black-box variational inference | Advances in Neural Information Processing Systems | Kyurae Kim Jisu Oh Kaiwen Wu Yian Ma Jacob Gardner | 2024/2/13 |
The Behavior and Convergence of Local Bayesian Optimization | Advances in Neural Information Processing Systems | Kaiwen Wu Kyurae Kim Roman Garnett Jacob Gardner | 2024/2/13 |
Stochastic Approximation with Biased MCMC for Expectation Maximization | Samuel Gruffaz Kyurae Kim Alain Durmus Jacob Gardner | 2024/4/18 | |
Generative Adversarial Bayesian Optimization for Surrogate Objectives | arXiv preprint arXiv:2402.06532 | Michael S Yao Yimeng Zeng Hamsa Bastani Jacob Gardner James C Gee | 2024/2/9 |
Large-scale gaussian processes via alternating projection | Kaiwen Wu Jonathan Wenger Haydn Jones Geoff Pleiss Jacob R Gardner | 2024/5/2 | |
Filling in the white space: Spatial interpolation with Gaussian processes and social media data | Current research in ecological and social psychology | Salvatore Giorgi Johannes C Eichstaedt Daniel Preoţiuc-Pietro Jacob R Gardner H Andrew Schwartz | 2023/1/1 |
Accelerating Executive Function Assessments With Group Sequential Designs | Mariluz Rojo Quinn Wai Wong Anja Pahor Aaron Seitz Susanne Jaeggi | 2023/11/14 | |
Discovering Many Diverse Solutions with Bayesian Optimization | arXiv preprint arXiv:2210.10953 | Natalie Maus Kaiwen Wu David Eriksson Jacob Gardner | 2022/10/20 |
Generative modeling for RNA splicing code predictions and design | Di Wu Anupama Jha San Jewell Natalie Maus Jacob R Gardner | 2023/10/13 | |
Extracting or guessing? improving faithfulness of event temporal relation extraction | arXiv preprint arXiv:2210.04992 | Haoyu Wang Hongming Zhang Yuqian Deng Jacob R Gardner Dan Roth | 2022/10/10 |
Practical and matching gradient variance bounds for black-box variational Bayesian inference | Kyurae Kim Kaiwen Wu Jisu Oh Jacob R Gardner | 2023/7/3 | |
Inverse Protein Folding Using Deep Bayesian Optimization | arXiv preprint arXiv:2305.18089 | Natalie Maus Yimeng Zeng Daniel Allen Anderson Phillip Maffettone Aaron Solomon | 2023/5/25 |
Distributional Latent Variable Models with an Application in Active Cognitive Testing | arXiv preprint arXiv:2312.09316 | Robert Kasumba Dom CP Marticorena Anja Pahor Geetha Ramani Imani Goffney | 2023/12/14 |
Learning to Select Pivotal Samples for Meta Re-weighting | Proceedings of the AAAI Conference on Artificial Intelligence | Yinjun Wu Adam Stein Jacob Gardner Mayur Naik | 2023/6/26 |
Scalable Probabilistic Modeling of Working Memory Performance | Mariluz Rojo Pranav Maddula Dan Fu Michael Guo Ethan Zheng | 2023/11/14 |
Co-Authors
