This is the repository code for IFC1 - A novel algorithm to generate algorithmic recourse keeping in mind user preference
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Updated
May 16, 2024 - Python
This is the repository code for IFC1 - A novel algorithm to generate algorithmic recourse keeping in mind user preference
This project aims to touch on the most important topics in the field of Responsible AI including bias, fairness, interpretability, error analysis and counterfactuals. Why apply those concepts to the adult dataset
A hyperintensional theorem prover for modal, counterfactual conditional, constitutive explanatory, and extensional operators.
🔮 Master Thesis for Double Degree for Master in Software Engineering at FH Technikum Wien: Analysis of Counterfactuals with Statistical Inference System
Code associated with "Recourse For Humans", presented at the Participatory Approaches to Machine Learning workshop at ICML 2020.
Repository for On Noise Abduction for Answering Counterfactual Queries: A Practical Outlook
A baseline genetic algorithm for the discovery of counterfactuals, implemented in Python for ease of use and heavily leveraging NumPy for speed.
Counterfactual text reviews generator
Code for "Finding Counterfactually Optimal Action Sequences in Continuous State Spaces", NeurIPS 2023.
Classifier with Counterfactual Samples and Active Learning
Semantic Meaningfulness: Evaluating counterfactual approaches for real world plausibility
cfid: R package for identifying counterfactuals.
Research project on generation of counterfactuals for eXplainable AI, based on Bayesian Generation
Counterfactual Shapley Additive Explanation: Experiments
Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"
Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
Counterfactual SHAP: a framework for counterfactual feature importance
Why And What If: Causal Inference for Everyone
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