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.