Pinned Repositories
better_uncertainty_calibration
The official source code to: Better Uncertainty Calibration via Proper Scores for Classification and Beyond (NeurIPS'22)
BVCD_generative_models
Codebase for "A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models", published at ICML 2024.
JOANA
mlo-lab.github.io
The official webpage for MLO lab.
MOMO-GP
MuVI
A multi-view latent variable model with domain-informed structured sparsity for integrating noisy feature sets.
Py_KCE
BA Project Moritz Schwerdt, Interpretation of SKCE
Uncertainty_Estimates_via_BVD
The official source code to: Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition (AISTATS'23)
MLO Lab's Repositories
MLO-lab/MuVI
A multi-view latent variable model with domain-informed structured sparsity for integrating noisy feature sets.
MLO-lab/Uncertainty_Estimates_via_BVD
The official source code to: Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition (AISTATS'23)
MLO-lab/better_uncertainty_calibration
The official source code to: Better Uncertainty Calibration via Proper Scores for Classification and Beyond (NeurIPS'22)
MLO-lab/BVCD_generative_models
Codebase for "A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models", published at ICML 2024.
MLO-lab/mlo-lab.github.io
The official webpage for MLO lab.
MLO-lab/Py_KCE
BA Project Moritz Schwerdt, Interpretation of SKCE
MLO-lab/JOANA
MLO-lab/MOMO-GP