Luke Travis

According to our database, Luke Travis authored at least 3 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

Semiparametric Inference Using Fractional Posteriors.

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

J. Mach. Learn. Res., 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