Efficient constrained sampling via the mirror-Langevin algorithm

von Ahn, Kwangjun
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 34 of 36 (2022)

Variational inference via Wasserstein gradient flows

von Lambert, Marc
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 19 of 50 (2023)

Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent

von Altschuler, Jason
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 27 of 36 (2022)

SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence

von Chewi, Sinho
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 3 of 27 (2021)

EXPONENTIAL ERGODICITY OF MIRROR-LANGEVIN DIFFUSIONS

von Chewi, Sinho
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 24 of 27 (2021)