jjcherian / fairaudit
Statistical inference for fairness auditing
☆12Updated last year
Alternatives and similar repositories for fairaudit:
Users that are interested in fairaudit are comparing it to the libraries listed below
- Conformal Bayes with importance sampling☆19Updated 3 years ago
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆50Updated last week
- R package to compute distribution-free prediction bands using density estimators☆9Updated 3 years ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆27Updated 3 years ago
- ☆22Updated last year
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆43Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 3 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆17Updated this week
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆24Updated 3 months ago
- Approximate knockoffs and model-free variable selection.☆52Updated 3 years ago
- Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-t…☆28Updated this week
- The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.☆16Updated 2 years ago
- A statistical toolkit for scientific discovery using machine learning☆73Updated 7 months ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 5 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆80Updated 2 months ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆27Updated 2 months ago
- ☆22Updated 3 years ago
- ☆15Updated 8 months ago
- Comparisons between best subset selection and other popular sparse regression estimators☆86Updated last year
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆66Updated 3 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆71Updated 3 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆62Updated 2 years ago
- Significance tests of feature relevance for a black-box learner☆18Updated 7 months ago
- A simple library to run variational inference on Stan models.☆30Updated last year
- Non-parametrics for Causal Inference☆43Updated 2 years ago
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- Achieve error-rate fairness between societal groups for any score-based classifier.☆16Updated 10 months ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 3 weeks ago