Veit Wild

According to our database, Veit Wild authored at least 5 papers between 2021 and 2023.

Collaborative distances:

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

2023

A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods.

Veit David Wild, Sahra Ghalebikesabi, Dino Sejdinovic, Jeremias Knoblauch

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

2022

Bayesian Kernel Two-Sample Testing.

Qinyi Zhang, Veit Wild, Sarah Filippi, Seth R. Flaxman, Dino Sejdinovic

J. Comput. Graph. Stat., October, 2022

Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning.

Veit D. Wild, Robert Hu, Dino Sejdinovic

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

Variational Gaussian Processes: A Functional Analysis View.

George Wynne, Veit Wild

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Connections and Equivalences between the Nyström Method and Sparse Variational Gaussian Processes.

Veit Wild, Motonobu Kanagawa, Dino Sejdinovic

CoRR, 2021