Research map / Probabilistic and scientific modeling / Variational and generative sampling
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add skew-symmetric non-reversible interaction (Skew-B/Skew-N/Skew-k) to parallel SGLD | SGLD on Covertype BLR / LDA · LDA ICML holdout perplexity | test perplexity: SGLD 1034.86 vs Skew-B(0.01) 1024.33 | Helped |
| increase interaction strength alpha of skew-symmetric drift (ablation) | Skew-N on Ornstein-Uhlenbeck process · OU energy distance / MMD | convergence vs discretization error | Mixed |
| increase interaction strength alpha in Skew-N (ablation) | Skew-N on Bayesian logistic regression · Covertype test accuracy / LL | convergence speed vs discretization error | Mixed |
| add skew-symmetric interaction to SGLD on Kin8nm BNN regression | SGLD · Kin8nm BNN regression | test RMSE: 6.92 to 6.86 (Skew-N) | Helped |
| use skew-symmetric interaction on SVGD-style ensemble for LDA robustness to alpha (ablation) | proposed skew-symmetric method on LDA · LDA holdout perplexity | test perplexity | No clear effect |
| add skew-symmetric interaction to SGLD on BNN classification (MNIST) | SGLD · MNIST classification | accuracy | No clear effect |
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