Research map / Probabilistic and scientific modeling / Variational and generative sampling
Pliable Rejection Sampling
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use pliable kernel-estimate proposal instead of uniform proposal (PRS vs SRS) | rejection sampling · 2D example, n=10^6 | acceptance rate: 25.0% -> 66.4% | Helped |
| use PRS instead of SRS | rejection sampling · Clutter 1D, n=10^5 | acceptance rate: 17.6% -> 79.5% | Helped |
| use PRS instead of SRS | rejection sampling · Clutter 2D, n=10^5 | acceptance rate: 2.10−3% -> 51,0% | Helped |
| compare PRS with A* sampling (which is given extra decomposition information) | PRS · 2D example, n=10^6 | acceptance rate: 66.4% -> 76.1% | Hurt |
| compare PRS with A* sampling | PRS · Clutter 1D, n=10^5 | acceptance rate: 79.5% -> 89.4% | Hurt |
| compare PRS with A* sampling | PRS · Clutter 2D, n=10^5 | acceptance rate: 51,0% -> 56.1% | Hurt |
| increase evaluation budget n from 10^4 to 10^5 (Fig 3a vs 3b) | PRS · peaked target e^-x/(1+x)^a | acceptance rate | Helped |
| PRS vs A* sampling across peakiness a in {2,5,10,15,20} | PRS · peaked target e^-x/(1+x)^a | acceptance rate | Helped |
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