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Tractable for Probabilistic Inference
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Classroom Contents
Tractable Learning in Structured Probability Spaces
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- 1 Intro
- 2 References
- 3 Running Example
- 4 Learning with Constraints
- 5 Example: Video
- 6 Example: Language
- 7 Example: Deep Learning
- 8 What are people doing now?
- 9 Structured Probability Spaces
- 10 Boolean Constraints
- 11 Combinatorial Objects: Rankings
- 12 Encoding Rankings in Logic
- 13 Structured Space for Paths
- 14 Logical Circuits
- 15 Property: Decomposability
- 16 Property: Determinism
- 17 Sentential Decision Diagram (SDD)
- 18 Tractable for Logical Inference
- 19 PSDD: Probabilistic SDD
- 20 Tractable for Probabilistic Inference
- 21 PSDDs are Arithmetic Circuits
- 22 Parameters are interpretable
- 23 Learning Algorithms
- 24 Learning Preference Distributions
- 25 What happens if you ignore constraints?
- 26 Structured Naïve Bayes Classifier
- 27 Structured Datasets
- 28 Learning from Incomplete Data
- 29 Structured Queries
- 30 Conclusions
