Philip J. Ball
Philip J. Ball
DPhil Machine Learning, University of Oxford
Verified email at robots.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
The sensitivity of counterfactual fairness to unmeasured confounding
N Kilbertus, PJ Ball, MJ Kusner, A Weller, R Silva
Uncertainty in Artificial Intelligence, 616-626, 2020
142020
Active inference: demystified and compared
N Sajid, PJ Ball, KJ Friston
Neural Computation 1909, 2019
13*2019
Ready policy one: World building through active learning
P Ball, J Parker-Holder, A Pacchiano, K Choromanski, S Roberts
International Conference on Machine Learning, 591-601, 2020
52020
On Optimism in Model-Based Reinforcement Learning
A Pacchiano, P Ball, J Parker-Holder, K Choromanski, S Roberts
arXiv preprint arXiv:2006.11911, 2020
52020
OffCon: What is state of the art anyway?
PJ Ball, SJ Roberts
arXiv preprint arXiv:2101.11331, 2021
2021
A Study on Efficiency in Continual Learning Inspired by Human Learning
PJ Ball, Y Li, A Lamb, C Zhang
NeurIPS 2020 BabyMind Workshop, 2020
2020
UNCLEAR: A Straightforward Method for Continual Reinforcement Learning
S Kessler, J Parker-Holder, P Ball, S Zohren, SJ Roberts
2020
Fairness in Machine Learning with Causal Reasoning
P Ball
MPhil Thesis, 2018
2018
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Articles 1–8