Task 1. Deadline: 31.10, 23.59
| Date | Topic | Link to record | Tasks |
|---|---|---|---|
| 5.09 | Intro | Link | - |
| 12.09 | Distributions, expectation, likelihood | Link | - |
| 26.09 | Bayesian inference | Link | - |
| 3.10 | MDL | Link | - |
| 10.10 | Variational inference | Link | - |
| 17.10 | Variational inference 2 | Link | Task 1 |
| 24.10 | Probabilistic graphical models | Link | - |
| 31.10 | Generative and discriminative models | - | - |
| 7.11 | Task 1 discussion | - | Task 2 |
| 14.11 | Data generation | - | - |
| 21.11 | Hyperparameter optimization | - | - |
| 28.11 | Task 2 discussion | - | - |
| 5.12 | SMBO | - | - |
| 12.12 | Random processes and genetics for model selection | - | - |
- Metaoptimization
- Hierarchical models
- Model ensembles, Mixture of experts
- Structure priors
- Informative prior
- Sampling
- Probabilistic metric spaces
- Transfer learning
- Domain adaptation
- Multitask learning
- SSM
- Agents
- Diffusion, Score matching models