Parameter Estimation on Toy MNIST (simulation)
0.82iota EstimateHyper-G-DPS
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Hyper-G-DPSAlgorithm=Gibbs sampling, Estimator=Posterior Mean (MMSE), Burn-in period=250 iterations2026.02 | 0.82 | 8.9 | 0.063 | 0.103 | 3.29 | 0.0082 | 0.0025 | 1.4 | 0.0001 | — |