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Human Comprehension of Fairness in Machine Learning.

D. Saha, C. Schumann, D. McElfresh, J. Dickerson, M. Mazurek, and M. Tschantz. AIES, page 152. ACM, (2020)

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Candice McMullan-Vogel

Nina Candice Jahnke

Alice Schumann

Ulrich Schumann

Eik Schumann

Other publications of authors with the same name

Making the Cut: A Bandit-based Approach to Tiered Interviewing.C. Schumann, Z. Lang, J. Foster, and J. Dickerson. NeurIPS, page 4641-4651. (2019)Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics.D. Saha, C. Schumann, D. McElfresh, J. Dickerson, M. Mazurek, and M. Tschantz. ICML, volume 119 of Proceedings of Machine Learning Research, page 8377-8387. PMLR, (2020)The Diverse Cohort Selection Problem: Multi-Armed Bandits with Varied Pulls.C. Schumann, S. Counts, J. Foster, and J. Dickerson. CoRR, (2017)A Step Toward More Inclusive People Annotations for Fairness.C. Schumann, S. Ricco, U. Prabhu, V. Ferrari, and C. Pantofaru. AIES, page 916-925. ACM, (2021)Exploring Diversity and Fairness in Machine Learning.C. Schumann. University of Maryland, College Park, MD, USA, (2020)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/26445).Group Fairness in Bandits with Biased Feedback.C. Schumann, Z. Lang, N. Mattei, and J. Dickerson. AAMAS, page 1155-1163. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Human Comprehension of Fairness in Machine Learning.D. Saha, C. Schumann, D. McElfresh, J. Dickerson, M. Mazurek, and M. Tschantz. AIES, page 152. ACM, (2020)Group Fairness in Bandit Arm Selection.C. Schumann, Z. Lang, N. Mattei, and J. Dickerson. CoRR, (2019)The Diverse Cohort Selection Problem.C. Schumann, S. Counts, J. Foster, and J. Dickerson. AAMAS, page 601-609. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Measuring Non-Expert Comprehension of Machine Learning Fairness MetricsD. Saha, C. Schumann, D. McElfresh, J. Dickerson, M. Mazurek, and M. Tschantz. (2019)cite arxiv:2001.00089.

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Disambiguation of "Schumann, Candice"

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Human Comprehension of Fairness in Machine Learning.

Please choose a person to relate this publication to

Candice McMullan-Vogel

Nina Candice Jahnke

Alice Schumann

Ulrich Schumann

Eik Schumann

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Schumann, Candice"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Human Comprehension of Fairness in Machine Learning.

Please choose a person to relate this publication to

Candice McMullan-Vogel

Nina Candice Jahnke

Alice Schumann

Ulrich Schumann

Eik Schumann

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Human Comprehension of Fairness in Machine Learning.