Jordahn, Mikkel

5 publications

ICLR 2025 Bayesian Optimization via Continual Variational Last Layer Training Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek, James Harrison

AISTATS 2025 On Local Posterior Structure in Deep Ensembles Mikkel Jordahn, Jonas Vestergaard Jensen, Mikkel N. Schmidt, Michael Riis Andersen

ICML 2024 Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks Mikkel Jordahn, Pablo M. Olmos

NeurIPSW 2024 Variational Last Layers for Bayesian Optimization Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek, James Harrison

UAI 2023 On the Role of Model Uncertainties in Bayesian Optimisation Jonathan Foldager, Mikkel Jordahn, Lars K. Hansen, Michael R. Andersen