Research map / Probabilistic and scientific modeling / Variational and generative sampling
Variational Inference for Sparse and Undirected Models
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use PVI with a noncentered Horseshoe prior instead of Group L1 pseudolikelihood | Potts model · Synthetic protein test sequences | -log PL: 59.6 -> 54.2 | Helped |
| Use PVI with a noncentered Horseshoe prior instead of L2 pseudolikelihood | Potts model · Synthetic protein test sequences | -log PL: 67.3 -> 54.2 | Helped |
| Combine Persistent VI with a noncentered Horseshoe prior | Ising model · Simulated ferromagnet and spin glass | coupling reconstruction error | Helped |
| Use PVI with a noncentered group Horseshoe prior instead of Group L1 | Synthetic protein Potts model · Synthetic protein | interaction reconstruction accuracy | Helped |
| Use PVI with group sparsity and noncentered scale-mixture priors | Potts model · SH3 domain family | 3D proximity prediction accuracy | Helped |
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