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Myles Bartlett
Myles Bartlett
Machine Learning PhD student, University of Sussex
Adresse e-mail validée de sussex.ac.uk
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Null-sampling for interpretable and fair representations
T Kehrenberg, M Bartlett, O Thomas, N Quadrianto
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
292020
An empirical, Bayesian approach to modelling crop yield: Maize in USA
R Shirley, E Pope, M Bartlett, S Oliver, N Quadrianto, P Hurley, ...
Environmental Research Communications 2 (2), 025002, 2020
212020
Okapi: Generalising better by making statistical matches match
M Bartlett, S Romiti, V Sharmanska, N Quadrianto
Advances in Neural Information Processing Systems 35, 1345-1361, 2022
22022
An empirical, Bayesian approach to modelling the impact of weather on crop yield: maize in the US
R Shirley, E Pope, M Bartlett, S Oliver, N Quadrianto, P Hurley, ...
arXiv preprint arXiv:2001.02614, 2020
22020
Addressing missing sources with adversarial support-matching
T Kehrenberg, M Bartlett, V Sharmanska, N Quadrianto
arXiv preprint arXiv:2203.13154, 2022
12022
Zero-shot Fairness with Invisible Demographics
T Kehrenberg, V Sharmanska, MS Bartlett, N Quadrianto
2020
Addressing Attribute Bias with Adversarial Support-Matching
T Kehrenberg, M Bartlett, V Sharmanska, N Quadrianto
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