Research map / Probabilistic and scientific modeling / Variational and generative sampling
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Learn the model using predictive belief propagation instead of EM | Latent-variable graphical model · Synthetic latent-variable graphical model | training time | Helped |
| Learn the model using predictive belief propagation instead of stepwise online EM | Latent-variable graphical model · Synthetic latent-variable graphical model | training time | Helped |
| Use predictive belief propagation rather than the spectral algorithm | Handwritten digit recognition · Pen-Based Recognition of Handwritten Digits | classification accuracy | Helped |
| Use predictive belief propagation rather than EM | Handwritten digit recognition · Pen-Based Recognition of Handwritten Digits | classification accuracy | Helped |
| Use predictive belief propagation rather than stepwise online EM | Handwritten digit recognition · Pen-Based Recognition of Handwritten Digits | classification accuracy | Helped |
| Use predictive belief propagation rather than the spectral algorithm | Handwritten digit recognition · Pen-Based Recognition of Handwritten Digits | training time | Helped |
| Use predictive belief propagation rather than EM | Handwritten digit recognition · Pen-Based Recognition of Handwritten Digits | training time | Helped |
| Use predictive belief propagation rather than stepwise online EM | Handwritten digit recognition · Pen-Based Recognition of Handwritten Digits | training time | Helped |
| Use predictive belief propagation with limited training data | Handwritten digit recognition · Pen-Based Recognition of Handwritten Digits | classification accuracy | Helped |
Closest papers by meaning
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- Probabilistic Circuits for Variational Inference in Discrete Graphical Models (NeurIPS 2020 · similarity 0.87)
- Learning Latent Graph Structures and their Uncertainty (ICML 2025 · similarity 0.86)
- Out-of-Distribution Generalization on Graphs via Progressive Inference (AAAI 2025 · similarity 0.86)
- Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention (NeurIPS 2024 · similarity 0.85)
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