36 citations · 81 across the 8 of their papers we have counts for
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stat.ML2019★ 36 cited
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
Christopher Frye, Colin Rowat, Ilya Feige
Explaining AI systems is fundamental both to the development of high performing models and to the trust placed in them by their users. The Shapley framework for explainability has…
cs.AI2019★ 4 cited
Parenting: Safe Reinforcement Learning from Human Input
Christopher Frye, Ilya Feige
Autonomous agents trained via reinforcement learning present numerous safety concerns: reward hacking, negative side effects, and unsafe exploration, among others. In the context o…