Candice Schumann

21 papers A* 4A 3C 2Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models. ICLR Ahmed Imtiaz Humayun, Ibtihel Amara, Cristina Nader Vasconcelos, Deepak Ramachandran, Candice Schumann, Junfeng He, Katherine A. Heller, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei
2024	—	`conf`	Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images. FAccT Hansa Srinivasan, Candice Schumann, Aradhana Sinha, David Madras, Gbolahan Oluwafemi Olanubi, Alex Beutel, Susanna Ricco, Jilin Chen
2024	J	`jnl`	Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images. CoRR Hansa Srinivasan, Candice Schumann, Aradhana Sinha, David Madras, Gbolahan Oluwafemi Olanubi, Alex Beutel, Susanna Ricco, Jilin Chen
2024	J	`jnl`	Understanding the Local Geometry of Generative Model Manifolds. CoRR Ahmed Imtiaz Humayun, Ibtihel Amara, Candice Schumann, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei
2023	A*	`conf`	Consensus and Subjectivity of Skin Tone Annotation for ML Fairness. NeurIPS Candice Schumann, Femi Olanubi, Auriel Wright, Ellis Monk Jr., Courtney Heldreth, Susanna Ricco
2023	J	`jnl`	Consensus and Subjectivity of Skin Tone Annotation for ML Fairness. CoRR Candice Schumann, Gbolahan O. Olanubi, Auriel Wright, Ellis Monk Jr., Courtney Heldreth, Susanna Ricco
2022	A	`conf`	Group Fairness in Bandits with Biased Feedback. AAMAS Candice Schumann, Zhi Lang, Nicholas Mattei, John P. Dickerson
2021	C	`conf`	A Step Toward More Inclusive People Annotations for Fairness. AIES Candice Schumann, Susanna Ricco, Utsav Prabhu, Vittorio Ferrari, Caroline Pantofaru
2021	J	`jnl`	A Step Toward More Inclusive People Annotations for Fairness. CoRR Candice Schumann, Susanna Ricco, Utsav Prabhu, Vittorio Ferrari, Caroline Pantofaru
2020	—	`—`	Exploring Diversity and Fairness in Machine Learning. Candice Schumann
2020	C	`conf`	Human Comprehension of Fairness in Machine Learning. AIES Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz
2020	J	`jnl`	Human Comprehension of Fairness in Machine Learning. CoRR Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz
2020	A*	`conf`	Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics. ICML Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz
2020	A	`conf`	We Need Fairness and Explainability in Algorithmic Hiring. AAMAS Candice Schumann, Jeffrey S. Foster, Nicholas Mattei, John P. Dickerson
2019	J	`jnl`	Group Fairness in Bandit Arm Selection. CoRR Candice Schumann, Zhi Lang, Nicholas Mattei, John P. Dickerson
2019	A*	`conf`	Making the Cut: A Bandit-based Approach to Tiered Interviewing. NeurIPS Candice Schumann, Zhi Lang, Jeffrey S. Foster, John P. Dickerson
2019	J	`jnl`	Making the Cut: A Bandit-based Approach to Tiered Interviewing. CoRR Candice Schumann, Zhi Lang, Jeffrey S. Foster, John P. Dickerson
2019	A	`conf`	The Diverse Cohort Selection Problem. AAMAS Candice Schumann, Samsara N. Counts, Jeffrey S. Foster, John P. Dickerson
2019	J	`jnl`	Transfer of Machine Learning Fairness across Domains. CoRR Candice Schumann, Xuezhi Wang, Alex Beutel, Jilin Chen, Hai Qian, Ed H. Chi
2017	J	`jnl`	The Diverse Cohort Selection Problem: Multi-Armed Bandits with Varied Pulls. CoRR Candice Schumann, Samsara N. Counts, Jeffrey S. Foster, John P. Dickerson
2015	J	`jnl`	An approach to the fairy tale card game: a rotating sets competitive knapsack problem with strongly stochastic rewards and item availability. J. Comput. Sci. Coll. Candice Schumann, Timothy Highley, Howard Stickley