Optimal Transport for Domain Adaptation through Gaussian Mixture Models

arXiv:2403.13847v1 Announce Type: new
Abstract: In this paper we explore domain adaptation through optimal transport. We propose a novel approach, where we model the data distributions through Gaussian mixture models. This strategy allows us to solve continuous optimal transport through an equivalent discrete problem. The optimal transport solution gives us a matching between source and target domain mixture components. From this matching, we can map data points between domains, or transfer the labels from the source domain components towards the …

abstract arxiv continuous cs.ai cs.lg data domain domain adaptation explore novel paper solution solve stat.ml strategy through transport type