Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2022
- NeurIPS 2022
Bio
I am a Research Staff Member at IBM Research and MIT-IBM Watson AI Lab. My main research goal is build reliable AI solutions. My research interests span several areas in machine learning and artificial intelligence this includes Bayesian inference, deep generative modeling, uncertainty quantification and learning with limited data. My current work focuses on developing theory and practical systems for machine learning applications that demand constraints such as reliability, fairness, and interpretability. I am a core contributor to several open-source trustworthy AI toolkits - AI Fairness 360, AI Explainability 360, and Uncertainty Quantification 360.
Publications
Generating physically-consistent high-resolution climate data with hard-constrained neural networks
- Paula Harder
- Qidong Yang
- et al.
- 2022
- NeurIPS 2022
Physics-Constrained Deep Learning for Climate Downscaling
- Paula Harder
- Qidong Yang
- et al.
- 2022
- NeurIPS 2022
Generating physically-consistent high-resolution climate data with hard-constrained neural networks
- Paula Harder
- Qidong Yang
- et al.
- 2022
- AAAI-FS 2022
Intervention Target Estimation in the Presence of Latent Variables
- Burak Varıcı
- Karthikeyan Shanmugam
- et al.
- 2022
- UAI 2022
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves
- Jiri Navratil
- Benjamin Elder
- et al.
- 2022
- ICML 2022
Selective Regression Under Fairness Criteria
- Abhin Shah
- Yuheng Bu
- et al.
- 2022
- ICML 2022
AI Explainability 360: Impact and Design
- 2022
- IAAI 2022
Causal Feature Selection for Algorithmic Fairness
- Sainyam Galhotra
- Karthikeyan Shanmugam
- et al.
- 2022
- SIGMOD/PODS 2022
A Maximal Correlation Approach to Imposing Fairness in Machine Learning
- Joshua Lee
- Yuheng Bu
- et al.
- 2022
- ICASSP 2022
Patents
- CN
- ZL202010827714.5
- US
- 11640532
- US
- 11514318
- US
- 11222242
Blog posts
IBM Granite has new experimental features for developers to test
NewsKim MartineauIBM’s Uncertainty Quantification 360 toolkit boosts trust in AI
ReleasePrasanna Sattigeri and Vera Liao7 minute readIntroducing AI Fairness 360
ReleaseKush Varshney
Top collaborators
DW
Dennis Wei
Senior Research Scientist
SD
Subhro Das
Research Staff Member, Master Inventor
PD
Payel Das
Principal Research Scientist and Manager, IBM Research AI
JR
John Richards
Distinguished Research Scientist