| Date | Topic | Link to record | Tasks |
|---|---|---|---|
| 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 | Data generation | - | - |
| 26.11 | Technical meeting 3 | - | - |
| 3.12 | Probabilistic metric spaces | - | - |
| 10.12 | Technical meeting 4 | - | - |
| 17.12 | Final scores | - | - |
| Date | Topic | Link to record | Tasks |
|---|---|---|---|
| 13.02 | Genetics | Link | Task 3 |
| 20.02 | Meta-optimization | - | - |
| 27.02 | Multitask learning | - | - |
| 5.02 | Task 3 discussion | - | - |
| 12.03 | Knowledge transfer and distillation | - | Task 4 |
| 26.03 | Sampling | - | - |
| 02.04 | Probabilistic metric spaces | - | - |
| 16.04 | Task 4 discussion, Latent space projection | - | - |
| 23.04 | Model ensembles, Mixture of experts | - | Task 5 |
| 14.05 | Gaussian processes | - | - |
| 21.05 | Task 5 discussion, 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