Causal Feature Selection for Algorithmic Fairness
- Sainyam Galhotra
- Karthikeyan Shanmugam
- et al.
- 2022
- SIGMOD/PODS 2022
Publications
88 results for Prasanna Sattigeri
A Maximal Correlation Approach to Imposing Fairness in Machine Learning
- Joshua Lee
- Yuheng Bu
- et al.
- 2022
- ICASSP 2022
A Maximal Correlation Framework for Fair Machine Learning
- Joshua Lee
- Yuheng Bu
- et al.
- 2022
- Entropy
Uncertainty Quantification 360: A Hands-on Tutorial
- Soumya Ghosh
- Q. Vera Liao
- et al.
- 2022
- CODS-COMAD 2022
Scalable Intervention Target Estimation in Linear Models
- Burak Varici
- Karthikeyan Shanmugam
- et al.
- 2021
- NeurIPS 2021
Interventional fairness with indirect knowledge of unobserved protected attributes
- Sainyam Galhotra
- Karthikeyan Shanmugam
- et al.
- 2021
- Entropy
One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- Vijay Arya
- Rachel K. Bellamy
- et al.
- 2021
- INFORMS 2021
Detector-Free Weakly Supervised Grounding by Separation
- Assaf Arbelle
- Sivan Doveh
- et al.
- 2021
- ICCV 2021
Leveraging Latent Features for Local Explanations
- Ronny Luss
- Pin-Yu Chen
- et al.
- 2021
- KDD 2021
Conditionally Independent Data Generation
- Kartik Ahuja
- Prasanna Sattigeri
- et al.
- 2021
- UAI 2021