Research map / Learning theory and algorithms / Optimal transport
A Graph Theoretic Additive Approximation of Optimal Transport
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the proposed combinatorial algorithm instead of Sinkhorn | Optimal transport on MNIST image pairs with squared-Euclidean costs · MNIST | wall-clock running time | Helped |
| Use the proposed combinatorial algorithm instead of Sinkhorn with both given the same error parameter | Optimal transport on MNIST image pairs with squared-Euclidean costs · MNIST | solution cost | Mixed |
| Use the proposed algorithm with error parameter δ instead of Sinkhorn with error parameter 5δ | Optimal transport on MNIST image pairs with squared-Euclidean costs · MNIST | wall-clock running time | Helped |
| Use the proposed algorithm with error parameter δ instead of Sinkhorn with error parameter 5δ | Optimal transport on MNIST image pairs with squared-Euclidean costs · MNIST | solution cost | Helped |
| Reduce δ | Proposed algorithm and Sinkhorn, Greenkhorn, and APDAGD · MNIST | iteration count | Mixed |
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