15 citations · 35 across the 10 of their papers we have counts for
4 papers · 1 filter
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes
Tennison Liu, Alex J. Chan, Boris van Breugel +1
It is important to guarantee that machine learning algorithms deployed in the real world do not result in unfairness or unintended social consequences. Fair ML has largely focused…
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning
Alex J. Chan, Mihaela van der Schaar
Consider making a prediction over new test data without any opportunity to learn from a training set of labelled data - instead given access to a set of expert models and their pre…
POETREE: Interpretable Policy Learning with Adaptive Decision Trees
Alizée Pace, Alex J. Chan, Mihaela van der Schaar
Building models of human decision-making from observed behaviour is critical to better understand, diagnose and support real-world policies such as clinical care. As established po…
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies
Alex J. Chan, Alicia Curth, Mihaela van der Schaar
Human decision making is well known to be imperfect and the ability to analyse such processes individually is crucial when attempting to aid or improve a decision-maker's ability t…