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Candice Schumann
Candice Schumann
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Title
Cited by
Cited by
Year
Measuring non-expert comprehension of machine learning fairness metrics
D Saha, C Schumann, D Mcelfresh, J Dickerson, M Mazurek, M Tschantz
International Conference on Machine Learning, 8377-8387, 2020
662020
We need fairness and explainability in algorithmic hiring
C Schumann, J Foster, N Mattei, J Dickerson
International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020
662020
Transfer of machine learning fairness across domains
C Schumann, X Wang, A Beutel, J Chen, H Qian, EH Chi
arXiv preprint arXiv:1906.09688, 2019
502019
A step toward more inclusive people annotations for fairness
C Schumann, S Ricco, U Prabhu, V Ferrari, C Pantofaru
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 916-925, 2021
472021
Group fairness in bandit arm selection
C Schumann, Z Lang, N Mattei, JP Dickerson
arXiv preprint arXiv:1912.03802, 2019
222019
The diverse cohort selection problem
C Schumann, SN Counts, JS Foster, JP Dickerson
arXiv preprint arXiv:1709.03441, 2017
222017
Human comprehension of fairness in machine learning
D Saha, C Schumann, DC McElfresh, JP Dickerson, ML Mazurek, ...
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 152-152, 2020
192020
Making the cut: A bandit-based approach to tiered interviewing
C Schumann, Z Lang, J Foster, J Dickerson
Advances in Neural Information Processing Systems 32, 2019
92019
Group fairness in bandits with biased feedback
C Schumann, Z Lang, N Mattei, JP Dickerson
21st International Conference on Autonomous Agents and Multiagent Systems …, 2022
62022
Consensus and subjectivity of skin tone annotation for ml fairness
C Schumann, F Olanubi, A Wright, E Monk, C Heldreth, S Ricco
Advances in Neural Information Processing Systems 36, 2024
52024
The diverse cohort selection problem: Multi-armed bandits with varied pulls
C Schumann, SN Counts, JS Foster, JP Dickerson
CoRR, abs/1709.03441, 2017
42017
Which Skin Tone Measures are the Most Inclusive? An Investigation of Skin Tone Measures for Artificial Intelligence.
CM Heldreth, EP Monk, AT Clark, C Schumann, X Eyee, S Ricco
ACM Journal on Responsible Computing, 2023
12023
Exploring Diversity and Fairness in Machine Learning
C Schumann
University of Maryland, College Park, 2020
12020
Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images
H Srinivasan, C Schumann, A Sinha, D Madras, GO Olanubi, A Beutel, ...
arXiv preprint arXiv:2401.14322, 2024
2024
An approach to the fairy tale card game: a rotating sets competitive knapsack problem with strongly stochastic rewards and item availability
C Schumann, T Highley, H Stickley
Journal of Computing Sciences in Colleges 30 (3), 16-25, 2015
2015
POSTER: Can Edutainment Videos Change Software Updating Behavior?
EM Redmiles, A Plane, C Schumann, R Stevens, P Sutor, ML Mazurek
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