About
Some Publications
I've put some recent papers below. A full list of my publications can be found here.
Learning Dynamics and Generalization in Reinforcement Learning. Clare Lyle, Mark Rowland, Will Dabney, Marta Kwiatkowska, Yarin Gal. ICML 2022, RLDM Spotlight. (arXiv link).
Revisiting the train loss: an efficient performance estimator for neural architecture search. Binxin Ru*, Clare Lyle*, Lisa Schut, Mark van der Wilk, and Yarin Gal. NeurIPS 2021. (arXiv link).
On The Effect of Auxiliary Tasks on Representation Dynamics Clare Lyle*, Mark Rowland*, Georg Ostrovski, Will Dabney, AISTATS 2021. (arXiv link).
Talks
I've given a few talks over the years. Most of these weren't recorded, but the slides might still be useful to give a narrative overview of some of the projects I've worked on.
- Conference on Lifelong Learning Agents Keynote, August 2023. Why do neural networks lose plasticity? | Recording.
- OxCSML Group, December 2021. Representation Dynamics and Feature Collapse in RL | Slides
- G-Research ML College, November 2021. The Many Faces of Model Selection | Slides
- GenU Workshop, October 2021. Bayesian Model Selection and Generalization in Deep Learning | Slides
- Simons Institute Workshop on Theory of Deep RL, October 2020. Invariant Prediction for Generalization in RL | Talk recording | Slides