Research map / Probabilistic and scientific modeling / Variational and generative sampling
Variational Bayes on Monte Carlo Steroids
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add random parity-constraint projections (VB-MCS, k=5, median aggregation T=3) | sigmoid belief network with neural inference network · Caltech 101 Silhouettes | NLL (lower better): 251.04 -> 245.60 | Helped |
| add random parity-constraint projections (VB-MCS, k=5/10/20) | sigmoid belief network with neural inference network · NIPS Proceedings | log-perplexity (lower better): 5009.79 -> 4919.35 (k=5), 4919.22 (k=10), 4920.71 (k=20) | Helped |
| increase number of parity constraints k from 5 to 20 (ablation) | k-SBN with VB-MCS · Caltech 101 Silhouettes | NLL (lower better): 245.60 (k=5) -> 248.79 (k=10) -> 256.60 (k=20) | Hurt |
| vary number of parity constraints k across 5, 10, 20 (ablation) | k-SBN with VB-MCS · NIPS Proceedings | log-perplexity (lower better): 4919.35 / 4919.22 / 4920.71 | No clear effect |
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