TENSOR MONTE CARLO: PARTICLE METHODS FOR THE GPU ERA

von Aitchison, Laurence
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 9 of 20 (2020)

WHY BIGGER IS NOT ALWAYS BETTER: ON FINITE AND INFINITE NEURAL NETWORKS

von Aitchison, Laurence
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 1 of 15 (2021)

BAYESIAN FILTERING UNIFIES ADAPTIVE AND NON-ADAPTIVE NEURAL NETWORK OPTIMIZATION METHODS

von Aitchison, Laurence
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 22 of 27 (2021)

A variational approximate posterior for the deep Wishart process

von Ober, Sebastian
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 8 of 36 (2022)

GLOBAL INDUCING POINT VARIATIONAL POSTERIORS FOR BAYESIAN NEURAL NETWORKS AND DEEP GAUSSIAN PROCESSES

von OBER, SEBASTIAN W.
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 11 of 16 (2022)

DEEP KERNEL PROCESSES

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