This course provides a series of lectures on probabilistic modeling and inference, covering the following topics:
- Bayesian learning
- Gaussian process and Bayesian optimization
- Variational inference
- Generative modeling
- Bayesian deep learning
- Sampling methods
- Trainer/in: Shinichi Nakajima