21 citations · 34 across the 31 of their papers we have counts for
3 papers · 1 filter
Looping in the Human Collaborative and Explainable Bayesian Optimization
Masaki Adachi, Brady Planden, David A. Howey +5
Like many optimizers, Bayesian optimization often falls short of gaining user trust due to opacity. While attempts have been made to develop human-centric optimizers, they typicall…
Causal Strategic Learning with Competitive Selection
Kiet Q. H. Vo, Muneeb Aadil, Siu Lun Chau +1
We study the problem of agent selection in causal strategic learning under multiple decision makers and address two key challenges that come with it. Firstly, while much of prior w…
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models
Siu Lun Chau, Krikamol Muandet, Dino Sejdinovic
We present a novel approach for explaining Gaussian processes (GPs) that can utilize the full analytical covariance structure present in GPs. Our method is based on the popular sol…