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Jacob Lindbäck

2 accepted papers

2023

Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs

NeurIPS 2023poster

We present an efficient algorithm for regularized optimal transport. In contrast to previous methods, we use the Douglas-Rachford splitting technique to develop an efficient solver that can handle a broad class of regularizers. The algorithm has strong global convergence guarantees, low per-iteratio…

Cited by 4SourcePDFScholar
2022

A fast and accurate splitting method for optimal transport: analysis and implementation

ICLR 2022poster

We develop a fast and reliable method for solving large-scale optimal transport (OT) problems at an unprecedented combination of speed and accuracy. Built on the celebrated Douglas-Rachford splitting technique, our method tackles the original OT problem directly instead of solving an approximate reg…

Cited by 11SourcePDFScholar