Inspection of blackbox models for evaluating vulnerability in maternal, newborn, and child health
- William Ogallo
- Skyler Speakman
- et al.
- 2021
- IJCAI 2020
Conference paper
Publications
138 results for Kush R. Varshney
Fairness of Classifiers Across Skin Tones in Dermatology
- Newton Kinyanjui
- Timothy Odonga
- et al.
- 2020
- MICCAI 2020
Conference paperHuman Cognitive Biases in Interpreting Machine Learning
- Charvi Rastogi
- Yunfeng Zhang
- et al.
- 2020
- INFORMS 2020
TalkEmpirical and Theoretical Relationships Among Pillars of Trustworthy Machine Learning
- Kush R. Varshney
- Moninder Singh
- 2020
- INFORMS 2020
TalkCharacterization of Overlap in Observational Studies
- Michael Oberst
- Fredrik D. Johansson
- et al.
- 2020
- AISTATS 2020
Conference paperTutorial on Human-Centered Explainability for Healthcare
- Prithwish Chakraborty
- Bum Chul Kwon
- et al.
- 2020
- KDD 2020
Conference paperInvariant Risk Minimization Games
- Kartik Ahuja
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
Conference paperIs there a trade-off between fairness and accuracy? A perspective using mismatched hypothesis testing
- Sanghamitra Dutta
- Dennis Wei
- et al.
- 2020
- ICML 2020
Conference paperOn the Equivalence of Bi-Level Optimization and Game-Theoretic Formulations of Invariant Risk Minimization
- Kartik Ahuja
- Karthikeyan Shanmugam
- et al.
- 2020
- ICML 2020
Workshop paperAi explainability 360: An extensible toolkit for understanding data and machine learning models
- Vijay Arya
- Rachel Bellamy
- et al.
- 2020
- JMLR
Paper