beauCoker / age_of_unfairnessLinks
☆13Updated 4 years ago
Alternatives and similar repositories for age_of_unfairness
Users that are interested in age_of_unfairness are comparing it to the libraries listed below
Sorting:
- Optimal Sparse Decision Trees☆104Updated 2 years ago
- ☆18Updated last year
- ☆10Updated 3 years ago
- Generalized Optimal Sparse Decision Trees☆63Updated last year
- python tools to check recourse in linear classification☆76Updated 4 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- ☆95Updated last year
- Non-parametrics for Causal Inference☆47Updated 3 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆54Updated 6 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆19Updated 4 months ago
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆29Updated last year
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆34Updated 4 years ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 5 years ago
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆63Updated 4 years ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- Multi-Calibration & Multi-Accuracy Boosting for R☆32Updated 9 months ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Tools for conformal inference in regression☆244Updated 10 months ago
- R Implementation of FLAME, DAME, and other algorithms in the AME framework☆13Updated 2 years ago
- Confidence sequences and uniform boundaries☆63Updated 7 months ago
- Causal Inference using Bayesian Additive Regression Trees☆80Updated 9 months ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆75Updated 5 years ago
- Python package to compute conditional and non-conditional causal effects.☆35Updated 3 years ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago
- library for fair auditing and learning of classifiers with respect to rich subgroup fairness.☆32Updated 5 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- ☆9Updated 4 years ago
- Bayesian Causal Forests☆45Updated last year