Set Matching on Set Matching SM2 (test)
89.31Regret (%)SPO-rn
Evaluation results
| Method | Links | |
|---|---|---|
| SPO-rnDFL Technique=Smart Predict-then-Optimize, Regularization=r^n2026.01 | 89.31 | |
| SPO-rpDFL Technique=Smart Predict-then-Optimize, Regularization=r^p2026.01 | 89.66 | |
| DBB-rpDFL Technique=Differentiable Black-Box, Regularization=r^p2026.01 | 90.17 | |
| DBB-rnDFL Technique=Differentiable Black-Box, Regularization=r^n2026.01 | 90.9 | |
| DBBDFL Technique=Differentiable Black-Box, Regularization=None2026.01 | 91.19 | |
| SPODFL Technique=Smart Predict-then-Optimize, Regularization=None2026.01 | 91.9 | |
| MSELoss Function=Mean-Squared Error2026.01 | 92.23 | |
| DPO-rpDFL Technique=Differentiable Perturbed Optimizers, Regularization=r^p2026.01 | 92.33 | |
| DPODFL Technique=Differentiable Perturbed Optimizers, Regularization=None2026.01 | 92.35 | |
| DPO-rnDFL Technique=Differentiable Perturbed Optimizers, Regularization=r^n2026.01 | 92.66 |