mkusner / counterfactual-fairness
Code for "Counterfactual Fairness" (NIPS2017)
☆53Updated 6 years ago
Alternatives and similar repositories for counterfactual-fairness
Users that are interested in counterfactual-fairness are comparing it to the libraries listed below
Sorting:
- Python code for training fair logistic regression classifiers.☆189Updated 3 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 6 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Non-parametrics for Causal Inference☆45Updated 3 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆15Updated 4 years ago
- Datasets derived from US census data☆261Updated last year
- This is a collection of papers and other resources related to fairness.☆92Updated last year
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆83Updated 6 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- python tools to check recourse in linear classification☆76Updated 4 years ago
- library for fair auditing and learning of classifiers with respect to rich subgroup fairness.☆32Updated 5 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆74Updated 4 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆56Updated 2 years ago
- ☆20Updated 6 years ago
- Comparing fairness-aware machine learning techniques.☆159Updated 2 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆30Updated 5 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆59Updated last year
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆20Updated 2 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 3 years ago
- ☆27Updated 2 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆61Updated 5 years ago
- ☆22Updated last year
- CPDAG Estimation using PC-Algorithm☆96Updated 3 years ago
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆21Updated 3 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 9 months ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 4 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆103Updated 4 years ago