AI Explainability 360: Impact and Design
- 2022
- IAAI 2022
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77 results for Dennis Wei
What Changed? Interpretable Model Comparison
- Rahul Nair
- Massimiliano Mattetti
- et al.
- 2021
- IJCAI 2021
Characterization of Overlap in Observational Studies
- Michael Oberst
- Fredrik D. Johansson
- et al.
- 2020
- AISTATS 2020
Optimized Score Transformation for Fair Classification
- 2020
- AISTATS 2020
AI Explainability 360 Toolkit
- Vijay Arya
- Rachel Bellamy
- et al.
- 2021
- CODS-COMAD 2021
Health insurance market risk assessment: Covariate shift and k-anonymity
- Dennis Wei
- Karthikeyan Natesan Ramamurthy
- et al.
- 2015
- SDM 2015
Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa
- Victor Akinwande
- Megan Macgregor
- et al.
- 2024
- IJCAI 2024
Causal Bandits with General Causal Models and Interventions
- Zirui Yan
- Dennis Wei
- et al.
- 2024
- AISTATS 2024
Adversarial Auditing of Machine Learning Models under Compound Shift
- Karan Bhanot
- Dennis Wei
- et al.
- 2023
- ESANN 2023
Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities
- Karan Bhanot
- Ioana Baldini
- et al.
- 2023
- AIES 2023