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Intro
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Classroom Contents
Generalized Tensor Decomposition - Utility for Data Analysis
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- 1 Intro
- 2 Example Application: Chicago Crime Data
- 3 Chicago Crime Data (2019)
- 4 Warm-up: Matrix Decomposition
- 5 CP Optimization Problem (d-way)
- 6 Probabilistic Interpretation of Standard CP
- 7 Connection to Least-Squares Loss
- 8 Statistical Framework for Loss Function
- 9 "Poisson" CP for Count Data
- 10 Binary CP with Odds Link
- 11 GCP Optimization Problem (3-way)
- 12 2019 Chicago Crime Data - Count Data
- 13 Rank-7 Decomp
- 14 Component 7 (of Rank 7)
- 15 Revisiting GCP Optimization (3-way)
- 16 Uniform Sampling
- 17 Stratified Zero/Nonzero Sampling
- 18 Stochastic Method Performance
- 19 Summary and Open Problems
