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10-702: Statistical Machine Learning GHC 4215, TR 1:30-2:50P Google Group Page |
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| Week | Date | Day | Lecture | Topic | Notes/Assignments | Due | |
| 1 | Jan 12 |
T | 1 (J) |
Statistical and computational thinking | Syllabus |
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| Jan 14 |
R | 2 (L) |
Linear models |
Hwk 1 R code for question Solution |
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| 3 | Jan 19 |
T | 3 (L) |
Model selection | |||
| Jan 21 |
R | 4 (J) |
Convexity | Hwk 1 (Friday) |
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| 3 | Jan 26 |
T | 5 (J) |
Optimization | Hwk 2 Solutions |
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| Jan 28 |
R | 6 (J) |
Undirected graphical models | ||||
| 4 | Feb 2 |
T | 7 (L) |
Nonparametric density estimation | |||
| Feb 4 |
R | 8 (L) |
Nonparametric regression (1/2) | Hwk 2 (Friday) |
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| 5 | Feb 9 |
T | 9 (*) |
No class -- snow day | Hwk 3 Solutions |
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| Feb 11 |
R | 10 (L) |
Nonparametric regression (2/2) | ||||
| 6 | Feb 16 |
T | 11 (L) |
Nonparametric classification | Project proposals | ||
| Feb 18 |
R | 12 (J) |
Nonparametric graphical models | Hwk 3 (Friday) |
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| 7 | Feb 23 |
T | 13 (J) |
Simulation | Hwk 4 Solutions |
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| Feb 25 |
R | 14 (J) |
Variational methods | ||||
| 8 | Mar 2 |
T | 15 (J) |
Structured prediction | |||
| Mar 4 |
R | Midterm exam |
practice midterm | ||||
| 9 | Mar 9 |
T | Spring break; no class | ||||
| Mar 11 |
R | ||||||
| 10 | Mar 16 |
T | 16 (L) |
Nonparametric Bayes | |||
| Mar 18 |
R | 17 (L) |
Fast rates for classification | Hwk 4 (Friday) |
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| 11 | Mar 23 |
T | 18 (J) |
Classification consistency | Hwk 5 Solutions |
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| Mar 25 |
R | 19 (J) |
Random projection | ||||
| 12 | Mar 30 |
T | 20 (L) |
Concentration of measure (1/2) | |||
| Apr 1 |
R | 21 (L) |
Concentration of measure (2/2) | Hwk 5 (Friday) |
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| 13 | Apr 6 |
T | 22 (L) |
Minimax theory (1/2) | Hwk 6 Solutions |
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| Apr 8 |
R | 23 (J) |
Sparsity and high dimensional inference (1/2) | Project progress report (Friday) |
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| 14 | Apr 13 |
T | 24 (J) |
Sparsity and high dimensional inference (2/2) | |||
| Apr 15 |
R | 25 (L) |
Clustering and dimension reduction | Hwk 6 (Friday) |
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| 15 | Apr 20 |
T | 26 (J) |
Manifold learning | |||
| Apr 22 |
R | 27 (J) |
TBD | ||||
| 16 | Apr 27 |
T | 28 (C) |
Student project spotlights | Project spotlights | ||
| Apr 29 |
R | 29 (C) |
No class -- project preparation | ||||
| Final
projects due
Tuesday, May 4 |
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