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Search All 2021 Events
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Active Learning
Adversarial Robustness and Security
Bandits
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154 Results
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Workshop
Tue 9:20
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents
Andrew Estornell
Workshop
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents
Andrew Estornell · Sanmay Das · Yang Liu · Yevgeniy Vorobeychik
Workshop
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents
Andrew Estornell · Sanmay Das · Yang Liu · Yevgeniy Vorobeychik
Poster
Wed 16:30
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning
Cyrus Cousins
Workshop
Mon 3:30
On the Impossibility of Fairness-Aware Learning from Corrupted Data
Nikola Konstantinov · Christoph Lampert
Workshop
Mon 13:00
Fairness:: Assessing Fairness in Practice: AI Teams’ Processes, Challenges, and Needs for Support
Michael Madaio · Hariharan Subramonyam · Jennifer Wortman Vaughan
Workshop
Mon 13:10
Fairness:: Fairness in Practice: Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits
Workshop
Models of fairness in federated learning
Kate Donahue · Jon Kleinberg
Affinity Workshop
Fri 13:55
Career and Life: Panel Discussion - Bo Li, Adriana Romero-Soriano, Devi Parikh, and Emily Denton
Emily Denton · Devi Parikh · Bo Li · Adriana Romero
Datasets and Benchmarks
Tue 0:15
It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks
Michelle Bao · Angela Zhou · Samantha Zottola · Brian Brubach · Sarah Desmarais · Aaron Horowitz · Kristian Lum · Suresh Venkatasubramanian
Affinity Workshop
Fri 6:25
Live Q&A with Adriana Romero-Soriano
Adriana Romero
Workshop
Regret, stability, and fairness in matching markets with bandit learners
Sarah Cen · Devavrat Shah
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