jmikko / fair_ERMLinks
Fair Empirical Risk Minimization (FERM)
☆37Updated 5 years ago
Alternatives and similar repositories for fair_ERM
Users that are interested in fair_ERM are comparing it to the libraries listed below
Sorting:
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆16Updated 5 years ago
- ☆43Updated 7 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 5 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆60Updated last year
- Python code for training fair logistic regression classifiers.☆192Updated 3 years ago
- library for fair auditing and learning of classifiers with respect to rich subgroup fairness.☆32Updated 5 years ago
- ☆14Updated last year
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- ☆50Updated 2 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 6 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆45Updated 2 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆61Updated 2 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- Learning Adversarially Fair and Transferable Representations☆56Updated 7 years ago
- ☆37Updated 2 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆51Updated 4 years ago
- This is a collection of papers and other resources related to fairness.☆95Updated 2 years ago
- Code for "Generative causal explanations of black-box classifiers"☆35Updated 4 years ago
- ☆22Updated 6 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 4 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- ☆33Updated 3 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated 2 years ago
- Datasets derived from US census data☆269Updated last year
- ☆124Updated last year
- ☆44Updated 3 years ago
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago