Adaptation-relevant predictions of climate change are often derived by
c...
Ice cores record crucial information about past climate. However, before...
Gaussian processes (GPs) are nonparametric priors over functions, and fi...
In this paper, we present a Bayesian view on model-based reinforcement
l...
We present an approach to Bayesian Optimization that allows for robust s...
We propose a novel Bayesian approach to modelling multimodal data genera...
We present a Bayesian extension to convolution processes which defines a...