HYPERPARAMETER ENSEMBLES FOR ROBUSTNESS AND UNCERTAINTY QUANTIFICATION

von Wenzel, Florian
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 8 of 27 (2021)

A Spectral Energy Distance for Parallel Speech Synthesis

von Gritsenko, Alexey
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 16 of 27 (2021)

EFFICIENT AND SCALABLE BAYESIAN NEURAL NETS WITH RANK-1 FACTORS

von Dusenberry, Michael W.
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 4 of 15 (2021)

CAN YOU TRUST YOUR MODEL'S UNCERTAINTY? EVALUATING PREDICTIVE UNCERTAINTY UNDER DATASET SHIFT

von Snoek, Jasper
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 18 of 20 (2020)

HOW GOOD IS THE BAYES POSTERIOR IN DEEP NEURAL NETWORKS REALLY?

von Wenzel, Florian
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 14 of 15 (2021)

THE K-TIED NORMAL DISTRIBUTION: A COMPACT PARAMETERIZATION OF GAUSSIAN MEAN FIELD POSTERIORS IN BAYESIAN NEURAL NETWORKS

von Swiatkowski, Jakub
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 12 of 15 (2021)