Classification on FashionMNIST
12.6Empirical RiskAlg. 1
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Alg. 1Model Type=Linear, Learning Setting=Batch, epsilon=1/√m, K=0.2√m2023.06 | 12.6 | 14.8 | |
| Alg. 1Model Type=Linear, Learning Setting=Batch, epsilon=1/m, K=0.2√m2023.06 | 12.8 | 15.1 | |
| ERMModel Type=Linear, Learning Setting=Batch2023.06 | 13.9 | 15.3 | |
| Alg. 1model=Neural Network, epsilon (ε)=1/√m, K=0.2√m2023.06 | 15.6 | 16 | |
| Alg. 1model=Neural Network, epsilon (ε)=1/m, K=0.2√m2023.06 | 15.9 | 16.3 | |
| ERMmodel=Neural Network2023.06 | 16.3 | 16.7 | |
| Alg. 2Model architecture=Linear model, Learning protocol=Online learning2023.06 | 22.3 | 28.2 | |
| OGDModel architecture=Linear model, Learning protocol=Online learning2023.06 | 54 | 54.8 |