Connections and Equivalences between the Nyström Method and Sparse Variational Gaussian Processes. - Veit Wild; Motonobu Kanagawa; Dino Sejdinovic (CoRR, 2021)

Variational Gaussian Processes: A Functional Analysis View. - George Wynne; Veit Wild (AISTATS, 2022)

Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning. - Veit D. Wild; Robert Hu; Dino Sejdinovic (NeurIPS, 2022)

Bayesian Kernel Two-Sample Testing. - Qinyi Zhang; Veit Wild; Sarah Filippi; Seth R. Flaxman; Dino Sejdinovic (J. Comput. Graph. Stat., 2022)

A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods. - Veit David Wild; Sahra Ghalebikesabi; Dino Sejdinovic; Jeremias Knoblauch (NeurIPS, 2023)

Near-Optimal Approximations for Bayesian Inference in Function Space. - Veit Wild; James Wu; Dino Sejdinovic; Jeremias Knoblauch (CoRR, 2025)