windxrz / DCFR
Source code for KDD 2020 paper "Algorithmic Decision Making with Conditional Fairness".
☆15Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for DCFR
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆49Updated 3 years ago
- ☆50Updated last year
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆63Updated last year
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆14Updated 4 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆13Updated 2 years ago
- ☆86Updated last year
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆63Updated 8 months ago
- A python package providing a benchmark with various specified distribution shift patterns.☆56Updated 11 months ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆68Updated 6 months ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 2 years ago
- ☆103Updated last year
- The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.☆24Updated 3 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆80Updated last month
- Regularized Learning under label shifts☆18Updated 5 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Updated 3 years ago
- ☆43Updated 2 years ago
- 💱 A curated list of data valuation (DV) to design your next data marketplace☆109Updated last week
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated 6 months ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 2 years ago
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020☆65Updated 3 years ago
- ☆65Updated 4 years ago
- ☆17Updated 9 months ago
- This is a collection of papers and other resources related to fairness.☆92Updated last year
- ☆30Updated 3 years ago
- ☆23Updated 3 years ago
- ☆26Updated 2 years ago
- ☆65Updated 4 months ago
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…☆20Updated 3 years ago