algowatchpenn / GerryFairLinks
library for fair auditing and learning of classifiers with respect to rich subgroup fairness.
☆32Updated 6 years ago
Alternatives and similar repositories for GerryFair
Users that are interested in GerryFair are comparing it to the libraries listed below
Sorting:
- Datasets derived from US census data☆276Updated last year
- Fair Empirical Risk Minimization (FERM)☆37Updated 5 years ago
- Python code for training fair logistic regression classifiers.☆191Updated 4 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆55Updated 7 years ago
- Learning Adversarially Fair and Transferable Representations☆56Updated 7 years ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆16Updated 5 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆86Updated 4 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Comparing fairness-aware machine learning techniques.☆161Updated 3 years ago
- ☆22Updated 6 years ago
- For calculating Shapley values via linear regression.☆73Updated 4 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆84Updated 3 years ago
- python tools to check recourse in linear classification☆76Updated 5 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆67Updated last year
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆77Updated 3 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 7 years ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆48Updated 2 years ago
- A benchmark for distribution shift in tabular data☆56Updated last year
- Non-parametrics for Causal Inference☆50Updated 3 years ago
- Achieve error-rate fairness between societal groups for any score-based classifier.☆19Updated 5 months ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆100Updated last year
- [NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contrib…☆27Updated 6 years ago
- Local explanations with uncertainty 💐!☆42Updated 2 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- Data Shapley: Equitable Valuation of Data for Machine Learning☆288Updated last year
- An amortized approach for calculating local Shapley value explanations☆105Updated 2 years ago
- This is a collection of papers and other resources related to fairness.☆95Updated 3 months ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆32Updated 6 years ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆22Updated 2 years ago