Hello there! I'm a PhD student at the University of Oxford interested in generalization and learning dynamics in deep (reinforcement) learning. I work jointly with Yarin Gal at the Oxford Applied and Theoretical Machine Learning group, and Marta Kwiatkowska. In my spare time, I blog and play basketball.
I've put some recent papers below. A full list of my publications can be found here.
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).
Provable Guarantees on the Robustness of Decision Rules to Causal Interventions Benjie Wang*, Clare Lyle*, Marta Kwiatkowska. IJCAI 2021. (arXiv link).
On The Effect of Auxiliary Tasks on Representation Dynamics Clare Lyle*, Mark Rowland*, Georg Ostrovski, Will Dabney, AISTATS 2021. (arXiv link).