Jacob Gardner

According to our database, Jacob Gardner authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Large-Scale Gaussian Processes via Alternating Projection.

Kaiwen Wu, Jonathan Wenger, Haydn T. Jones, Geoff Pleiss, Jacob Gardner

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?

Kyurae Kim, Yian Ma, Jacob Gardner

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Stochastic Approximation with Biased MCMC for Expectation Maximization.

Samuel Gruffaz, Kyurae Kim, Alain Durmus, Jacob Gardner

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Variational Gaussian Processes with Decoupled Conditionals.

Xinran Zhu, Kaiwen Wu, Natalie Maus, Jacob Gardner, David Bindel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Behavior and Convergence of Local Bayesian Optimization.

Kaiwen Wu, Kyurae Kim, Roman Garnett, Jacob Gardner

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Select Pivotal Samples for Meta Re-weighting.

Yinjun Wu, Adam Stein, Jacob Gardner, Mayur Naik

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023