| Speaker | Topic | Slide Links | Video Lecture |
|---|---|---|---|
| Peter Bartlett | Online Learning | all slides | Video Lecture |
| Edwin Bonilla | Gaussian Processes | all slides | Video Lecture |
| Wray Buntine | Document Analysis | part 1, part 2, part 3 | |
| Peter Christen | Data Mining | part 1, part 2, part 3 | |
| Marcus Frean | Restricted Boltzmann Machines and Deep Belief Nets | all slides | Video Lecture |
| Steve Hanneke | Active Learning | all slides | |
| David Hawking | Information Retrieval | part 1, part 2, part 3, part 4, part 5 | Video Lecture |
| Marcus Hutter | Universal Artificial Intelligence | all slides | |
| Kristian Kersting | Statistical Relational Learning | all slides | |
| Simon Lucey | Computer Vision | email Simon | |
| Sanjay Jain and Frank Stephan | Induction | all slides | |
| Mark Johnson | Probabilistic Models for Computational Linguistics | part 1, part 2, part 3 | Video Lecture |
| Scott Sanner | Graphical Models | all slides | |
| Peter Sunehag | Optimization for Machine Learning | all slides | |
| Will Uther | Reinforcement Learning | all slides | |
| Manfred Warmuth | Recent Advances in Boosting | part 1, part 2 | |
| Christfried Webers | Introduction to Machine Learning | all slides |