SCALABLE BAYESIAN DYNAMIC COVARIANCE MODELING WITH VARIATIONAL WISHART AND INVERSE WISHART PROCESS

von Heaukulani, Creighton
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 6 of 20 (2020)

CORRELATED WEIGHTS IN NNFNITE LIMITS OF DEEP CONVOLUTIONAL NEURAL NETWORKS

von Garriga-Alonso, Adrià
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 3 of 3 (2022)

TIGHTER BOUNDS ON THE LOG MARGINAL LIKELIHOOD OF GAUSSIAN PROCESS REGRESSION USING CONJUGATE GRADIENTS

von ARTEMEV, ARTEM
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 1 of 16 (2022)

THE PROMISES AND PITFALLS OF DEEP KERNEL LEARNING

von Ober, Sebastian W.
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 2 of 3 (2022)

A BAYESIAN PERSPECTIVE ON TRAINING SPEED AND MODEL SELECTION

von Lyle, Clare
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 13 of 27 (2021)