jmikko / fair_ERM
Fair Empirical Risk Minimization (FERM)
☆37Updated 4 years ago
Alternatives and similar repositories for fair_ERM:
Users that are interested in fair_ERM are comparing it to the libraries listed below
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆15Updated 4 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆52Updated 6 years ago
- ☆22Updated 5 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated 11 months ago
- library for fair auditing and learning of classifiers with respect to rich subgroup fairness.☆32Updated 5 years ago
- ☆50Updated 2 years ago
- Python code for training fair logistic regression classifiers.☆189Updated 3 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 6 years ago
- ☆22Updated 6 years ago
- ☆42Updated 6 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- ☆37Updated 2 years ago
- [NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contrib…☆26Updated 5 years ago
- Learning Adversarially Fair and Transferable Representations☆54Updated 6 years ago
- ☆20Updated 5 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆49Updated 3 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆77Updated last year
- ☆31Updated 3 years ago
- A benchmark for distribution shift in tabular data☆52Updated 10 months ago
- ☆44Updated 3 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆74Updated 4 years ago
- Certified Removal from Machine Learning Models☆65Updated 3 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- ☆14Updated last year
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Updated 2 years ago