BIMSA > 控制理论和非线性滤波讨论班 Fast, Multimodal, Derivative-Free Bayes Inference with Fisher-Rao Gradient Flows
Fast, Multimodal, Derivative-Free Bayes Inference with Fisher-Rao Gradient Flows
组织者
丘成栋
演讲者
康家熠
时间
2024年10月02日 20:00 至 21:00
地点
Online
摘要
In this group meeting I will report two papers, 1 Sampling via gradient flows in the space of probability measures. https://arxiv.org/abs/2310.03597 2 Efficient, multimodal, and derivative-free Bayesian inference with Fisher-Rao gradient flows. https://arxiv.org/abs/2406.17263