Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness
- Zahra Ashktorab
- Benjamin Hoover
- et al.
- 2023
- CHI 2023
Publications
9 results for Mayank Agarwal
Investigating Explainability of Generative AI for Code through Scenario-based Design
- Jiao Sun
- Q. Vera Liao
- et al.
- 2022
- IUI 2022
Better Together? An Evaluation of AI-Supported Code Translation
- Justin D. Weisz
- Michael Muller
- et al.
- 2022
- IUI 2022
Toward skills dialog orchestration with online learning
- Djallel Bouneffouf
- Raphael Feraud
- et al.
- 2021
- ICASSP 2021
Perfection Not Required? Human-AI Partnerships in Code Translation
- Justin Weisz
- Michael Muller
- et al.
- 2021
- IUI 2021
How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks
- Michael Muller
- April Yi Wang
- et al.
- 2021
- IUI 2021
TraceHub - A platform to bridge the gap between state-of-the-art time-series analytics and datasets
- Shubham Agarwal
- Christian Muise
- et al.
- 2020
- AAAI 2020
Statistical model aggregation via parameter matching
- Mikhail Yurochkin
- Mayank Agarwal
- et al.
- 2019
- NeurIPS 2019
Bayesian nonparametric federated learning of neural networks
- Mikhail Yurochkin
- Mayank Agarwal
- et al.
- 2019
- ICML 2019