| 1 |
Aug. 24 |
Introduction |
Guideline |
Link |
| 2 |
Aug. 29, 31 |
Generative modeling |
Guideline |
Link |
| 3 |
Sept. 5, 7 |
Bayesian statistics |
Guideline |
Link |
| 4 |
Sept. 12, 14 |
Probabilistic graphical models |
Guideline |
Link |
| 5 |
Sept. 19, 21 |
Probabilistic graphical models (II) |
Guideline |
Link |
| 6 |
Sept. 26, 28 |
Information theory basics |
Guideline |
Link |
| 7 |
Oct. 5 |
Variational inference |
Guideline |
Link |
| 8 |
Oct. 10, 12 |
Variational inference (II) |
Guideline |
Link |
| 9 |
Oct. 17, 19 |
Monte Carlo inference |
Guideline |
Link |
| 10 |
Oct. 24, 26 |
Monte Carlo inference (II) |
Guideline |
Link |
| 11 |
Oct. 31, Nov. 2 |
Variational autoencoders |
Guideline |
Link |
| 12 |
Nov. 7, 9 |
Generative adversarial networks |
Guideline |
Link |
| 13 |
Nov. 14, 16 |
Diffusion Models |
Guideline |
Link |
| 14 |
Nov. 21 |
Beyond the IID assumption |
Guideline |
|
| 15 |
Nov. 28, 30 |
No class (NeurIPS 2022) |
|
|
| 16 |
Dec. 5 |
Beyond the IID assumption (II) |
Guideline |
|