Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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29 results for Fairness, Accountability, Transparency

Post-processing for Individual Fairness
- - Felix Petersen
  - Debarghya Mukherjee
  - et al.
- 2021
- NeurIPS 2021
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks
- - Siyue Wang
  - Xiao Wang
  - et al.
- 2021
- IJCAI 2021
Learn more about our Fairness, Accountability, Transparency work
Topic
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
- - Max Biggs
  - Wei Sun
  - et al.
- 2021
- ICML 2021
Statistical inference for individual fairness
- - Subha Maity
  - Songkai Xue
  - et al.
- 2021
- ICLR 2021
Individually Fair Gradient Boosting
- - Alexander Vargo
  - Fan Zhang
  - et al.
- 2021
- ICLR 2021
Individually Fair Rankings
- - Amanda Bower
  - Hamid Eftekhari
  - et al.
- 2021
- ICLR 2021
Fair Mixup: Fairness via Interpolation
- - Ching-Yao chuang
  - Youssef Mroueh
- 2021
- ICLR 2021
Two simple ways to learn individual fairness metrics from data
- - Debarghya Mukherjee
  - Mikhail Yurochkin
  - et al.
- 2020
- ICML 2020
Training individually fair ML models with sensitive subspace robustness
- - Mikhail Yurochkin
  - Amanda Bower
  - et al.
- 2020
- ICLR 2020
Data augmentation for discrimination prevention and bias disambiguation
- - Shubham Sharma
  - Yunfeng Zhang
  - et al.
- 2020
- AIES 2020