Machine Learning Reading Group
Schedule
| Date | Presenter | Paper | Notes | |
|---|---|---|---|---|
| 21/01/2021 | Jackie Kay | Interaction Networks for Learning about Objects, Relations and Physics | ||
| 29/10/2020 | Janith Petangoda | Meta-Learning Symmetries by Reparameterization | ||
| 22/10/2020 | Jean Kaddour | Invariant Causal Prediction for Block MDPs | ||
| 15/10/2020 | Janith Petangoda | MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning | ||
| 01/10/2020 | Riccardo Moriconi | Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization | ||
| 30/07/2020 | Yicheng Luo | Deep Kernel Transfer in Gaussian Processes for Few-shot Learning |
- Our reading group happens every two weeks on Thursday at 16:00-17:00.
- Topics are diverse, and will cover both theoretical and applied aspects of machine learning.
- Each session starts with presentation of a paper (preferably with slides). The presentation will discuss the motivation of the work and discuss the contribution, followed by discussion among the participants.
- To subscribe to our reading group, please join MS Teams.
Nominate a paper
If you would like to nominate or present a paper, please let us know.