Wesley J. Maddox

According to our database, Wesley J. Maddox authored at least 19 papers between 2019 and 2023.

Collaborative distances:

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

2023

Materials Expert-Artificial Intelligence for Materials Discovery.

Yanjun Liu, Milena Jovanovic, Krishnanand Mallayya, Wesley J. Maddox, Andrew Gordon Wilson, Sebastian Klemenz, Leslie M. Schoop, Eun-Ah Kim

CoRR, 2023

Bayesian Optimization with Conformal Prediction Sets.

Samuel Stanton, Wesley J. Maddox, Andrew Gordon Wilson

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Bayesian Optimization with Conformal Coverage Guarantees.

Samuel Stanton, Wesley J. Maddox, Andrew Gordon Wilson

CoRR, 2022

Low-precision arithmetic for fast Gaussian processes.

Wesley J. Maddox, Andres Potapczynski, Andrew Gordon Wilson

Proceedings of the Uncertainty in Artificial Intelligence, 2022

On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification.

Sanyam Kapoor, Wesley J. Maddox, Pavel Izmailov, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders.

Samuel Stanton, Wesley J. Maddox, Nate Gruver, Phillip M. Maffettone, Emily Delaney, Peyton Greenside, Andrew Gordon Wilson

Proceedings of the International Conference on Machine Learning, 2022

Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes.

Gregory W. Benton, Wesley J. Maddox, Andrew Gordon Wilson

Proceedings of the International Conference on Machine Learning, 2022

2021

When are Iterative Gaussian Processes Reliably Accurate?

Wesley J. Maddox, Sanyam Kapoor, Andrew Gordon Wilson

CoRR, 2021

Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization.

Wesley J. Maddox, Qing Feng, Maximilian Balandat

CoRR, 2021

Conditioning Sparse Variational Gaussian Processes for Online Decision-making.

Wesley J. Maddox, Samuel Stanton, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bayesian Optimization with High-Dimensional Outputs.

Wesley J. Maddox, Maximilian Balandat, Andrew Gordon Wilson, Eytan Bakshy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling.

Gregory W. Benton, Wesley J. Maddox, Sanae Lotfi, Andrew Gordon Wilson

Proceedings of the 38th International Conference on Machine Learning, 2021

Kernel Interpolation for Scalable Online Gaussian Processes.

Samuel Stanton, Wesley J. Maddox, Ian A. Delbridge, Andrew Gordon Wilson

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Fast Adaptation with Linearized Neural Networks.

Wesley J. Maddox, Shuai Tang, Pablo Garcia Moreno, Andrew Gordon Wilson, Andreas C. Damianou

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Similarity of Neural Networks with Gradients.

Shuai Tang, Wesley J. Maddox, Charlie Dickens, Tom Diethe, Andreas C. Damianou

CoRR, 2020

Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited.

Wesley J. Maddox, Gregory W. Benton, Andrew Gordon Wilson

CoRR, 2020

2019

Subspace Inference for Bayesian Deep Learning.

Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

A Simple Baseline for Bayesian Uncertainty in Deep Learning.

Wesley J. Maddox, Pavel Izmailov, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Function-Space Distributions over Kernels.

Gregory W. Benton, Wesley J. Maddox, Jayson P. Salkey, Julio Albinati, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019