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)

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

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

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

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

Recourse Explanation Library in JAX

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

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

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.

Algorithmic recourse for FCA Consumer Duty in UK personal lines insurance pricing

Conformal prediction for Tsetlin Machines: wrap any TM and get prediction sets with finite-sample coverage guarantees. Split, Mondrian, and drift-adaptive calibration, plus recourse that stays valid under noise.