Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness
- Brianna Richardson
- Prasanna Sattigeri
- et al.
- 2023
- FAccT 2023
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135 results for Kush R. Varshney
Trustworthy AI and the Logics of Intersectional Resistance
- Bran Knowles
- Jasmine Fledderjohann
- et al.
- 2023
- FAccT 2023
The Empathy Gap: Why AI Can Forecast Behavior But Cannot Assess Trustworthiness
- Jason R. D’Cruz
- William Kidder
- et al.
- 2022
- AAAI-FS 2022
Differentially Private SGDA for Minimax Problems
- Zhenhuan Yang
- Shu Hu
- et al.
- 2022
- UAI 2022
Causal Feature Selection for Algorithmic Fairness
- Sainyam Galhotra
- Karthikeyan Shanmugam
- et al.
- 2022
- SIGMOD/PODS 2022
Uncertainty Quantification 360: A Hands-on Tutorial
- Soumya Ghosh
- Q. Vera Liao
- et al.
- 2022
- CODS-COMAD 2022
Treatment Effect Estimation Using Invariant Risk Minimization
- Abhin Shah
- Kartik Ahuja
- et al.
- 2021
- ICASSP 2021
Tutorial on Human-Centered Explainability for Healthcare
- Prithwish Chakraborty
- Bum Chul Kwon
- et al.
- 2020
- KDD 2020
Preservation of anomalous subgroups on variational autoencoder transformed data
- Samuel C. Maina
- Reginald Bryant
- et al.
- 2020
- ICASSP 2020
Experiences with improving the transparency of AI models and services
- Michael Hind
- Stephanie Houde
- et al.
- 2020
- CHI EA 2020