An approach to the fairy tale card game: a rotating sets competitive knapsack problem with strongly stochastic rewards and item availability. - Candice Schumann; Timothy Highley; Howard Stickley (J. Comput. Sci. Coll., 2015)

The Diverse Cohort Selection Problem: Multi-Armed Bandits with Varied Pulls. - Candice Schumann; Samsara N. Counts; Jeffrey S. Foster; John P. Dickerson (CoRR, 2017)

The Diverse Cohort Selection Problem. - Candice Schumann; Samsara N. Counts; Jeffrey S. Foster; John P. Dickerson (AAMAS, 2019)

Making the Cut: A Bandit-based Approach to Tiered Interviewing. - Candice Schumann; Zhi Lang; Jeffrey S. Foster; John P. Dickerson (NeurIPS, 2019)

Transfer of Machine Learning Fairness across Domains. - Candice Schumann; Xuezhi Wang 002; Alex Beutel; Jilin Chen; Hai Qian; Ed H. Chi (CoRR, 2019)

Group Fairness in Bandit Arm Selection. - Candice Schumann; Zhi Lang; Nicholas Mattei; John P. Dickerson (CoRR, 2019)

Human Comprehension of Fairness in Machine Learning. - Debjani Saha; Candice Schumann; Duncan C. McElfresh; John P. Dickerson; Michelle L. Mazurek; Michael Carl Tschantz (AIES, 2020)

We Need Fairness and Explainability in Algorithmic Hiring. - Candice Schumann; Jeffrey S. Foster; Nicholas Mattei; John P. Dickerson (AAMAS, 2020)

Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics. - Debjani Saha; Candice Schumann; Duncan C. McElfresh; John P. Dickerson; Michelle L. Mazurek; Michael Carl Tschantz (ICML, 2020)

Exploring Diversity and Fairness in Machine Learning. - Candice Schumann (2020)

A Step Toward More Inclusive People Annotations for Fairness. - Candice Schumann; Susanna Ricco; Utsav Prabhu; Vittorio Ferrari; Caroline Pantofaru (AIES, 2021)

Group Fairness in Bandits with Biased Feedback. - Candice Schumann; Zhi Lang; Nicholas Mattei; John P. Dickerson (AAMAS, 2022)

Consensus and Subjectivity of Skin Tone Annotation for ML Fairness. - Candice Schumann; Femi Olanubi; Auriel Wright; Ellis Monk Jr.; Courtney Heldreth; Susanna Ricco (NeurIPS, 2023)

Consensus and Subjectivity of Skin Tone Annotation for ML Fairness. - Candice Schumann; Gbolahan O. Olanubi; Auriel Wright; Ellis Monk Jr.; Courtney Heldreth; Susanna Ricco (CoRR, 2023)

Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images. - Hansa Srinivasan; Candice Schumann; Aradhana Sinha; David Madras; Gbolahan Oluwafemi Olanubi; Alex Beutel; Susanna Ricco; Jilin Chen (FAccT, 2024)

Understanding the Local Geometry of Generative Model Manifolds. - Ahmed Imtiaz Humayun; Ibtihel Amara; Candice Schumann; Golnoosh Farnadi; Negar Rostamzadeh; Mohammad Havaei (CoRR, 2024)

What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models. - Ahmed Imtiaz Humayun; Ibtihel Amara; Cristina Nader Vasconcelos; Deepak Ramachandran; Candice Schumann; Junfeng He; Katherine A. Heller; Golnoosh Farnadi; Negar Rostamzadeh; Mohammad Havaei (ICLR, 2025)