Approximate Recovery Of Ising Models with Side Information
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- Type
- article
- Published
- 2020-06-01
- Cited by
- 1
- References
- 32
- OpenAlex
- https://openalex.org/W3081113268
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:221386071
Keywords
Ising model, Bounded function, Inference, Sample complexity, Scaling
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- On the Information Theoretic Limits of Learning Ising Models
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- The joint graphical lasso for inverse covariance estimation across multiple classes
- Necessary conditions for consistent set-based graphical model selection
- Node-Based Learning of Multiple Gaussian Graphical Models
- On the Difficulty of Selecting Ising Models With Approximate Recovery
- Graphical models for optimal power flow
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