Luke Travis

According to our database, Luke Travis authored at least 2 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression.

Ismaël Castillo, Alice L'Huillier, Kolyan Ray, Luke Travis

CoRR, 2024

2023

Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior.

Luke Travis, Kolyan Ray

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