Research map / Probabilistic and scientific modeling / Variational and generative sampling
On Estimation in Latent Variable Models
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use variance-reduced gradient (SVRG-style with latent samples) instead of plain batch gradient | latent variable model estimation · DINA simulation | convergence speed in data passes | Helped |
| Use variance-reduced gradient instead of plain SGD | latent variable model estimation · NESARC Data | solution variance | Helped |
| Use variance-reduced gradient instead of SGD | latent variable model estimation · PISA Data | estimation bias | Helped |
| Smaller step-size exponent alpha (faster but larger error) (ablation) | proposed method · DINA simulation | convergence speed vs. error | Mixed |
| Second-order Louis-identity refinement step (two Newton-type steps) | proposed estimator · DINA simulation | estimation error | Helped |
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