Extracting Incentives from Black-Box Decisions

13 October 2019

Papers citing "Extracting Incentives from Black-Box Decisions"

5 / 5 papers shown

Title
Learning Actionable Counterfactual Explanations in Large State Spaces Keziah Naggita Matthew R. Walter Avrim Blum OffRL 106 0 0 25 Apr 2024
Reinforcement Learning with Stepwise Fairness Constraints Zhun Deng He Sun Zhiwei Steven Wu Linjun Zhang David C. Parkes FaML OffRL 83 11 0 08 Nov 2022
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis Giovanni De Toni Bruno Lepri Andrea Passerini CML 73 13 0 18 Jan 2022
Consequence-aware Sequential Counterfactual Generation Philip Naumann Eirini Ntoutsi OffRL 69 26 0 12 Apr 2021
From Predictions to Decisions: Using Lookahead Regularization Nir Rosenfeld Sophie Hilgard S. Ravindranath David C. Parkes 58 21 0 20 Jun 2020