Research map / Probabilistic and scientific modeling / Variational and generative sampling
Conditional PSDDs: Modeling and Learning With Modular Knowledge
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| learn conditional PSDDs per cluster instead of one joint PSDD | structured Bayesian network · Random Bayesian networks (100 vars) | test log likelihood | Helped |
| learn conditional PSDDs per cluster instead of one joint PSDD | structured Bayesian network · Random Bayesian networks (100 vars) | free parameters: 45,618 -> 648 | Helped |
Closest papers by meaning
- Tractability in Structured Probability Spaces (NeurIPS 2017 · similarity 0.91)
- Paths Not Taken: Structure-Based Pruning in PSDD Learning and Inference (AAAI 2026 · similarity 0.91)
- Structured Bayesian Networks: From Inference to Learning with Routes (AAAI 2019 · similarity 0.90)
- Learning Bayesian Networks with Low Rank Conditional Probability Tables (NeurIPS 2019 · similarity 0.87)
- Probabilistic Dependency Graphs (AAAI 2021 · similarity 0.86)
- Learning Minimum-Size BDDs: Towards Efficient Exact Algorithms (ICML 2025 · similarity 0.84)
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