no code implementations • 21 Oct 2019 • Rianne de Heide, Alisa Kirichenko, Nishant Mehta, Peter Grünwald
We study generalized Bayesian inference under misspecification, i. e. when the model is 'wrong but useful'.
no code implementations • 17 Sep 2014 • Alisa Kirichenko, Harry van Zanten
In this paper we provide theoretical support for the so-called "Sigmoidal Gaussian Cox Process" approach to learning the intensity of an inhomogeneous Poisson process on a $d$-dimensional domain.