Research map / Probabilistic and scientific modeling / Variational and generative sampling
Rényi Divergence Variational Inference
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use VR-max instead of IWAE | VAE training on Frey Face with K = 50 and batch size M = 100 on CPU · Frey Face | seconds per epoch: 29.0s -> 9.7s | Helped |
| Use alpha = 0.5 instead of alpha = 0 or alpha = -infinity | VAE maximum-likelihood training · Frey Face | test log-likelihood: 1374.64±5.62 | Hurt |
| Use alpha = 0.5 instead of alpha = 0 or alpha = -infinity | VAE maximum-likelihood training · MNIST | test log-likelihood: -85.50 | Hurt |
| Use small negative alpha values such as -1.0 or -2.0 | VAE training · Frey Face | test log-likelihood | Helped |
| Use VR-max instead of IWAE | VAE training · Frey Face, Caltech 101 Silhouettes, MNIST, and OMNIGLOT | test log-likelihood | No clear effect |
| Increase the number of Monte Carlo samples K | VR-alpha bound estimation · Frey Face test datapoints | gap to the estimated log-likelihood | Helped |
| Decrease alpha toward negative infinity | VR-alpha bound estimation · Frey Face test datapoints | gap to the estimated log-likelihood | Helped |
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