algorithmic-recourse

Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831

Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.

Counterfactual SHAP: a framework for counterfactual feature importance

RootCLAM: On Root Cause Localization and Anomaly Mitigation through Causal Inference (CIKM 2023)

Counterfactual Shapley Additive Explanation: Experiments

Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis.

A Julia package for modelling Algorithmic Recourse Dynamics.

CFXplorer generates optimal distance counterfactual explanations for a given machine learning model.

Robust Bayesian Recourse: a robust model-agnostic algorithmic recourse method (UAI'22)

Robust Bayesian Recourse: a robust model-agnostic algorithmic recourse method (UAI'22)

(Explainable) Algorithmic Recourse with Reinforcement Learning and MCTS (FARE and E-FARE)

Original codebase for the paper "Time Can Invalidate Algorithmic Recourse"

Python implementation of the work "The importance of Time in Causal Algorithmic Recourse"

Recourse Explanation Library in JAX

Constrained, threshold-aware counterfactual explanations for tree ensembles (XGBoost, LightGBM, CatBoost, sklearn) on a bundled Rust engine

Repository for "Endogenous Macrodynamics in Algorithmic Recourse" (Altmeyer et al., 2023)

Code for the paper "Personalized Algorithmic Recourse with Preference Elicitation"

Mock-data reimplementation of STAR-Coach's correction-analysis (explanation) pipeline — HCI Korea 2026 paper

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.

Semantically validate the generated counterfactual explanations for algorithmic recourse.