James T. Wilson

According to our database, James T. Wilson authored at least 11 papers between 2015 and 2026.

Collaborative distances:

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

2026

A Mechanistic Study of Tabular Foundation Models.

Marin Bilos, James T. Wilson, Anderson Schneider, Yuriy Nevmyvaka

CoRR, May, 2026

AlphaLab: Autonomous Multi-Agent Research Across Optimization Domains with Frontier LLMs.

Brendan R. Hogan, Xiwen Chen, James T. Wilson, Kashif Rasul, Adel Boyarsky, Thomas Kamei, Anderson Schneider, Yuriy Nevmyvaka

CoRR, April, 2026

2024

Stopping Bayesian Optimization with Probabilistic Regret Bounds.

James T. Wilson

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A Unifying Variational Framework for Gaussian Process Motion Planning.

Lucas Cosier, Rares Iordan, Sicelukwanda N. T. Zwane, Giovanni Franzese, James T. Wilson, Marc Peter Deisenroth, Alexander Terenin, Yasemin Bekiroglu

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

2021

Pathwise Conditioning of Gaussian Processes.

James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth

J. Mach. Learn. Res., 2021

2020

Efficiently sampling functions from Gaussian process posteriors.

James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Maximizing acquisition functions for Bayesian optimization.

James T. Wilson, Frank Hutter, Marc Peter Deisenroth

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

The reparameterization trick for acquisition functions.

James T. Wilson, Riccardo Moriconi, Frank Hutter, Marc Peter Deisenroth

CoRR, 2017

2016

Compressing Convolutional Neural Networks in the Frequency Domain.

Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Compressing Convolutional Neural Networks.

Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen

CoRR, 2015

Compressing Neural Networks with the Hashing Trick.

Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen

Proceedings of the 32nd International Conference on Machine Learning, 2015