16 citations · 27 across the 5 of their papers we have counts for
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cs.LG2021★ 10 cited
Counterfactual Explanations for Arbitrary Regression Models
Thomas Spooner, Danial Dervovic, Jason Long +3
We present a new method for counterfactual explanations (CFEs) based on Bayesian optimisation that applies to both classification and regression models. Our method is a globally co…
cs.LG2020★ 1 cited
A Natural Actor-Critic Algorithm with Downside Risk Constraints
Thomas Spooner, Rahul Savani
Existing work on risk-sensitive reinforcement learning - both for symmetric and downside risk measures - has typically used direct Monte-Carlo estimation of policy gradients. While…