| Date | Topic |
|---|---|
| 10.09 | Intro |
| 17.09 | Distributions, expectation, likelihood |
| 24.09 | Bayesian inference, sampling |
| 1.10 | Technical meeting |
| 8.10 | MDL |
| 15.10 | Var inference |
| 22.10 | Var inference 2 |
| 29.10 | Technical meeting 2 |
| 5.11 | Diffusion models, score matching |
| 12.11 | Generative and discriminative models |
| 19.11 | Technical meeting 3 |
| 26.11 | Data generation |
| 3.12 | Probabilistic metric spaces, HMC, Posterior |
| 10.12 | Technical meeting 4 |
| 17.12 | Final scores |
- Genetics
- Metaoptimization
- Hierarchical models
- Knowledge transfer/distillation
- Model ensembles, Mixture of experts
- Structure priors
- Hyperparameter optimization: SMBO, GD
- NAS
- Transfer learning
- Domain adaptation
- Multitask learning
- SSM
- Agents
