- Bayesian methods: Gaussian processes, Dirichlet processes, MCMC methods, variational inference.
- Deep learning: Boltzmann machines, Autoencoders, Convolutional neural networks.
- Computational learning theory: PAC learning, VC dimension.
- Other select topics: multi-kernel learning, multi-task learning, reinforcement learning.
- nosilec: Aleksander Sadikov