Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
machine-learning causality explainable-ai explainable-ml xai counterfactual-explanations algorithmic-recourse
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Dec 27, 2022 - Python
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algorithmic-recourse
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Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
decision-making incentives explainable-ai explainable-ml counterfactual-explanations algorithmic-recourse strategic-ml
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Feb 28, 2024 - Jupyter Notebook
Counterfactual SHAP: a framework for counterfactual feature importance
machine-learning xgboost feature-importance explainable-artificial-intelligence explanations explainable-ai explainable-ml shapley tree-based shap explainability counterfactual-explanations shapley-values feature-attribution counterfactuals explainable-machine-learning algorithmic-recourse facct2022
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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
machine-learning xgboost feature-importance explainable-artificial-intelligence explanations explainable-ai explainable-ml shapley tree-based shap counterfactual-explanations shapley-values feature-attention counterfactuals explainable-machine-learning algorithmic-recourse facct2022
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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.
python machine-learning random-forest optimization python3 adaboost decision-tree binary-classification counterfactual-explanations algorithmic-recourse tree-based-models
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Feb 23, 2026 - Python
Robust Bayesian Recourse: a robust model-agnostic algorithmic recourse method (UAI'22)
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Nov 12, 2024 - Python
(Explainable) Algorithmic Recourse with Reinforcement Learning and MCTS (FARE and E-FARE)
machine-learning mcts monte-carlo-tree-search preference-elicitation explainable-ai reinfrocement-learning algorithmic-recourse personalized-algorithmic-recourse
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May 30, 2025 - 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
Python implementation of the work "The importance of Time in Causal Algorithmic Recourse"
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Dec 11, 2024 - Jupyter Notebook
Recourse Explanation Library in JAX
python benchmarking cpu gpu research-tool tpu explainable-ai jax explainability counterfactual-explanations recourse algorithmic-recourse explainability-libraries jax-relax
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Sep 11, 2023 - Jupyter Notebook
Constrained, threshold-aware counterfactual explanations for tree ensembles (XGBoost, LightGBM, CatBoost, sklearn) on a bundled Rust engine
rust machine-learning scikit-learn xgboost lightgbm interpretability catboost credit-risk explainable-ai xai counterfactual-explanations algorithmic-recourse
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Sep 6, 2026 - Python
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
Mock-data reimplementation of STAR-Coach's correction-analysis (explanation) pipeline — HCI Korea 2026 paper
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Aug 11, 2026 - Python
Semantically validate the generated counterfactual explanations for algorithmic recourse.
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Jul 23, 2026 - Python
A Tsetlin Machine that trains on counterfactual pairs: per-clause causal scores, treatment effects, and minimal recourse flip-sets shipped as SAT receipts an auditor can re-verify in 0.1 ms.
research sat causal-inference interpretable-ml explainable-ai tsetlin-machine fairness-ml counterfactual-explanations algorithmic-recourse eu-ai-act
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Jun 12, 2026 - Python
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