algorithmic-recourse
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Code to reproduce our paper on probabilistic algorithmic recourse:https://arxiv.org/abs/2006.06831
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Dec 27, 2022 - Python
Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
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Feb 28, 2024 - Jupyter Notebook
Counterfactual SHAP: a framework for counterfactual feature importance
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Jul 6, 2023 - HTML
RootCLAM: On Root Cause Localization and Anomaly Mitigation through Causal Inference (CIKM 2023)
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Apr 1, 2025 - Python
Counterfactual Shapley Additive Explanation: Experiments
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Jul 6, 2023 - Jupyter Notebook
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis.
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Mar 20, 2023 - Python
A Julia package for modelling Algorithmic Recourse Dynamics.
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Aug 8, 2025 - TeX
CFXplorer generates optimal distance counterfactual explanations for a given machine learning model.
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Jan 16, 2024 - Python
(Explainable) Algorithmic Recourse with Reinforcement Learning and MCTS (FARE and E-FARE)
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May 30, 2025 - Python
Robust Bayesian Recourse: a robust model-agnostic algorithmic recourse method (UAI'22)
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Nov 12, 2024 - Python
Robust Bayesian Recourse: a robust model-agnostic algorithmic recourse method (UAI'22)
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Jun 27, 2022 - Python
Original codebase for the paper "Time Can Invalidate Algorithmic Recourse"
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Oct 10, 2024 - Python
Recourse Explanation Library in JAX
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Sep 11, 2023 - Jupyter Notebook
Python implementation of the work "The importance of Time in Causal Algorithmic Recourse"
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Dec 11, 2024 - Jupyter Notebook
Repository for "Endogenous Macrodynamics in Algorithmic Recourse" (Altmeyer et al., 2023)
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Jul 14, 2025 - TeX
Code for the paper "Personalized Algorithmic Recourse with Preference Elicitation"
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Apr 17, 2024 - Python
This is the repository code for IFC1 - A novel algorithm to generate algorithmic recourse keeping in mind user preference
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Apr 22, 2025 - Python
Framework allowing users to easily set up, execute and visualize counterfactual explanation experiments on ML models.
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Jun 22, 2022 - Jupyter Notebook
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