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11/11/2022
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes
It is important to guarantee that machine learning algorithms deployed i...
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10/11/2022
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning
Consider making a prediction over new test data without any opportunity ...
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03/15/2022
POETREE: Interpretable Policy Learning with Adaptive Decision Trees
Building models of human decision-making from observed behaviour is crit...
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03/14/2022
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies
Human decision making is well known to be imperfect and the ability to a...
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06/08/2021
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation
Understanding decision-making in clinical environments is of paramount i...
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02/12/2021
Scalable Bayesian Inverse Reinforcement Learning
Bayesian inference over the reward presents an ideal solution to the ill...
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06/26/2020