14 citations · 24 across the 5 of their papers we have counts for
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cs.LG2022★ 1 cited
Gradient-based Counterfactual Explanations using Tractable Probabilistic Models
Xiaoting Shao, Kristian Kersting
Counterfactual examples are an appealing class of post-hoc explanations for machine learning models. Given input of class , its counterfactual is a contrastive example $x^…
cs.LG2022★ 1 cited
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement
Xiaoting Shao, Karl Stelzner, Kristian Kersting
A key assumption of most statistical machine learning methods is that they have access to independent samples from the distribution of data they encounter at test time. As such, th…