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Regularized Stein Variational Gradient Flow
May 10, 2024, 4:42 a.m. | Ye He, Krishnakumar Balasubramanian, Bharath K. Sriperumbudur, Jianfeng Lu
cs.LG updates on arXiv.org arxiv.org
Abstract: The Stein Variational Gradient Descent (SVGD) algorithm is a deterministic particle method for sampling. However, a mean-field analysis reveals that the gradient flow corresponding to the SVGD algorithm (i.e., the Stein Variational Gradient Flow) only provides a constant-order approximation to the Wasserstein Gradient Flow corresponding to the KL-divergence minimization. In this work, we propose the Regularized Stein Variational Gradient Flow, which interpolates between the Stein Variational Gradient Flow and the Wasserstein Gradient Flow. We establish …
abstract algorithm analysis approximation arxiv cs.lg cs.na divergence flow gradient however kl-divergence math.ap math.na math.st mean particle sampling stat.co stat.ml stat.th type
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