65 citations · 167 across the 9 of their papers we have counts for
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stat.ML2016★ 36 cited
Programs as Black-Box Explanations
Sameer Singh, Marco Tulio Ribeiro, Carlos Guestrin
Recent work in model-agnostic explanations of black-box machine learning has demonstrated that interpretability of complex models does not have to come at the cost of accuracy or m…
stat.ML2016★ 65 cited
Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance
Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin
At the core of interpretable machine learning is the question of whether humans are able to make accurate predictions about a model's behavior. Assumed in this question are three p…