Interpretable Differencing of Machine Learning Models
- Swagatam Haldar
- Diptikalyan Saha
- et al.
- 2023
- UAI 2023
Publications
Date
Featured collections
Popular topics
77 results for Dennis Wei
Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness
- Brianna Richardson
- Prasanna Sattigeri
- et al.
- 2023
- FAccT 2023
Deciding fast and slow: The role of cognitive biases in AI-assisted decision-making
- Charvi Rastogi
- Yunfeng Zhang
- et al.
- 2021
- CSCW 2021
Conditionally Independent Data Generation
- Kartik Ahuja
- Prasanna Sattigeri
- et al.
- 2021
- UAI 2021
Treatment Effect Estimation Using Invariant Risk Minimization
- Abhin Shah
- Kartik Ahuja
- et al.
- 2021
- ICASSP 2021
Model Projection: Theory and Applications to Fair Machine Learning
- Wael Alghamdi
- Shahab Asoodeh
- et al.
- 2020
- ISIT 2020
Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines
- Chirag Nagpal
- Dennis Wei
- et al.
- 2020
- CHIL 2020
Fair transfer learning with missing protected attributes
- Amanda Coston
- Karthikeyan Natesan Ramamurthy
- et al.
- 2019
- AIES 2019
TED: Teaching AI to explain its decisions
- Michael Hind
- Dennis Wei
- et al.
- 2019
- AIES 2019
On the Supermodularity of Active Graph-Based Semi-Supervised Learning with Stieltjes Matrix Regularization
- 2018
- ICASSP 2018