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Gaussian Graphical Models
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Classroom Contents
Power of Active Sampling for Unsupervised Learning
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- 1 Intro
- 2 Big Data, Bigger Systems
- 3 Partially observed data
- 4 Statistical Learning Tradeoffs
- 5 Power of Active Sampling
- 6 Gaussian Graphical Models
- 7 Passive Graphical Model Selection
- 8 Active Graphical Model Selection
- 9 Outline
- 10 Incoherence & leverage scores
- 11 Random sampling for matrix completion
- 12 Active sampling for matrix completion
- 13 Low-rank Matrix completion
- 14 Computational Complexity - Simulations
- 15 Effect of Row Coherence - Simulations
- 16 Effect of Row Coherence - Theory
- 17 Column subset selection (CSS)
- 18 Active Matrix Approximation
- 19 Summary of results and assumptions
- 20 Active sampling for clustering
- 21 Acknowledgements
- 22 References
