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Synthesizing explainable counterfactual policies for algorithmic
  recourse with program synthesis

Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis

18 January 2022
Giovanni De Toni
Bruno Lepri
Andrea Passerini
    CML
ArXivPDFHTML

Papers citing "Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis"

7 / 7 papers shown
Title
Time Can Invalidate Algorithmic Recourse
Time Can Invalidate Algorithmic Recourse
Giovanni De Toni
Stefano Teso
Bruno Lepri
Andrea Passerini
32
0
0
10 Oct 2024
Learning Actionable Counterfactual Explanations in Large State Spaces
Learning Actionable Counterfactual Explanations in Large State Spaces
Keziah Naggita
Matthew R. Walter
Avrim Blum
OffRL
23
0
0
25 Apr 2024
Exploiting Preference Elicitation in Interactive and User-centered
  Algorithmic Recourse: An Initial Exploration
Exploiting Preference Elicitation in Interactive and User-centered Algorithmic Recourse: An Initial Exploration
Seyedehdelaram Esfahani
Giovanni De Toni
Bruno Lepri
Andrea Passerini
Katya Tentori
Massimo Zancanaro
19
5
0
08 Apr 2024
Personalized Path Recourse for Reinforcement Learning Agents
Personalized Path Recourse for Reinforcement Learning Agents
Dat Hong
Tong Wang
13
0
0
14 Dec 2023
The Utility of "Even if..." Semifactual Explanation to Optimise Positive
  Outcomes
The Utility of "Even if..." Semifactual Explanation to Optimise Positive Outcomes
Eoin M. Kenny
Weipeng Huang
24
9
0
29 Oct 2023
Personalized Algorithmic Recourse with Preference Elicitation
Personalized Algorithmic Recourse with Preference Elicitation
Giovanni De Toni
P. Viappiani
Stefano Teso
Bruno Lepri
Andrea Passerini
6
8
0
27 May 2022
Counterfactual Explanations and Algorithmic Recourses for Machine
  Learning: A Review
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
24
106
0
20 Oct 2020
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