sul217 / MOO_FairnessLinks
Accuracy and fairness trade-offs: A stochastic multi-objective approach
☆11Updated 4 years ago
Alternatives and similar repositories for MOO_Fairness
Users that are interested in MOO_Fairness are comparing it to the libraries listed below
Sorting:
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- ☆22Updated 6 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆16Updated 4 years ago
- ifedtree: tree-based federated learning for heterogeneous model harmonization (ICML 2022)☆13Updated 2 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- A benchmark for distribution shift in tabular data☆52Updated 11 months ago
- PyTorch code for the Neurips 2021 paper: Fairness via Representation Neutralization☆10Updated 3 years ago
- ☆14Updated last year
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…☆20Updated 4 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆65Updated 2 years ago
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆20Updated 2 years ago
- Official code for FAccT'21 paper "Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning" https://arxiv.org/abs…☆13Updated 4 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆54Updated 6 years ago
- Datasets for fairness-aware machine learning☆11Updated 3 months ago
- ☆13Updated 2 years ago
- ☆37Updated 2 years ago
- Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"☆18Updated 4 years ago
- Implementation of Adversarial Debiasing in PyTorch to address Gender Bias☆31Updated 4 years ago
- ☆12Updated 2 years ago
- Local explanations with uncertainty 💐!☆40Updated last year
- ☆14Updated 5 years ago
- ☆9Updated last year
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- FairBatch: Batch Selection for Model Fairness (ICLR 2021)☆19Updated 2 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Updated 2 years ago
- [TMLR23] FedDAG: Federated DAG Structure Learning☆17Updated 2 years ago
- FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.☆28Updated last year