VARIATIONAL AUTO-REGRESSIVE GAUSSIAN PROCESSES FOR CONTINUAL LEARNING

von KAPOOR, SANYAM
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)

On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification

von Kapoor, Sanyam
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 24 of 50 (2023)

SKIING ON SIMPLICES: KERNEL INTERPOLATION ON THE PERMUTOHEDRAL LATTICE FOR SCALABLE GAUSSIAN PROCESSES

von KAPOOR, SANYAM
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)

PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization

von Lotfi, Sanae
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 41 of 50 (2023)

Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors

von Shwartz-Ziv, Ravid
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 36 of 50 (2023)