Set Matching on Set Matching SM1 (test)
90.09Regret (%)SPO-rp
Evaluation results
| Method | Links | |
|---|---|---|
| SPO-rpDFL Technique=Smart Predict-then-Optimize, Regularization=r^p2026.01 | 90.09 | |
| SPO-rnDFL Technique=Smart Predict-then-Optimize, Regularization=r^n2026.01 | 90.38 | |
| DBB-rpDFL Technique=Differentiable Black-Box, Regularization=r^p2026.01 | 90.62 | |
| DBB-rnDFL Technique=Differentiable Black-Box, Regularization=r^n2026.01 | 91.16 | |
| DBBDFL Technique=Differentiable Black-Box, Regularization=None2026.01 | 91.53 | |
| SPODFL Technique=Smart Predict-then-Optimize, Regularization=None2026.01 | 91.72 | |
| DPO-rpDFL Technique=Differentiable Perturbed Optimizers, Regularization=r^p2026.01 | 92.03 | |
| DPODFL Technique=Differentiable Perturbed Optimizers, Regularization=None2026.01 | 92.08 | |
| MSELoss Function=Mean-Squared Error2026.01 | 92.09 | |
| DPO-rnDFL Technique=Differentiable Perturbed Optimizers, Regularization=r^n2026.01 | 92.27 |