Machine Learning Reading Group
|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.