Research map / Probabilistic and scientific modeling / Variational and generative sampling
Generalization Gap in Amortized Inference
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Train amortized inference with reverse half-asleep objective instead of standard VAE inference | VAE · Binary MNIST test | BPD: 0.200 -> 0.187 | Helped |
| Train amortized inference with reverse half-asleep objective instead of standard VAE inference | VAE · Grey MNIST test | BPD: 1.543 -> 1.513 | Helped |
| Train amortized inference with reverse half-asleep objective instead of standard VAE inference | VAE · CIFAR10 test | BPD: 4.592 -> 4.572 | Helped |
| Train amortized inference with reverse half-asleep objective | VAE · CIFAR100 test | BPD: 5.288 to 5.275 | Helped |
| Add a denoising regularizer with σ=0.1, σ=0.2, or σ=0.4 | VAE amortized inference · Binary MNIST and Grey MNIST test | BPD: Binary MNIST: 0.200 -> 0.195, 0.192, 0.191; Grey MNIST: 1.543 -> 1.527, 1.519, 1.515 | Helped |
| Increase denoising noise to σ=0.8 or σ=1.0 | VAE amortized inference · Binary MNIST and Grey MNIST test | BPD: Binary MNIST: 0.200 -> 0.196, 0.201; Grey MNIST: 1.543 -> 1.545, 1.550 | Hurt |
| Add a denoising regularizer with σ=0.1 | VAE amortized inference · CIFAR10 test | BPD: 4.592 -> 4.591 | Helped |
| Add a denoising regularizer with σ=0.2, σ=0.4, σ=0.8, or σ=1.0 | VAE amortized inference · CIFAR10 test | BPD: 4.592 -> 4.598, 4.614, 4.651, 4.667 | Hurt |
| Use reverse sleep rather than reverse half-asleep (α=0.5) (ablation) | VAE amortized inference · Binary MNIST test | BPD | Hurt |
| Use standard amortized inference rather than reverse half-asleep (α=0.5) (ablation) | VAE amortized inference · Binary MNIST test | BPD | Hurt |
| Use reverse half-asleep training from the beginning rather than post-hoc (ablation) | VAE · Binary MNIST test | ELBO | Helped |
| Use reverse half-asleep training from the beginning rather than standard VAE training (ablation) | VAE · Grey MNIST test | ELBO | Hurt |
Closest papers by meaning
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- Inference Suboptimality in Variational Autoencoders (ICML 2018 · similarity 0.91)
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- Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables (NeurIPS 2025 · similarity 0.88)
- Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis (ICLR 2025 · similarity 0.87)
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