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Search All 2021 Events
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Active Learning
Adversarial Robustness and Security
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154 Results
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Workshop
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents
Andrew Estornell · Sanmay Das · Yang Liu · Yevgeniy Vorobeychik
Workshop
Tue 9:20
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents
Andrew Estornell
Workshop
Mon 3:30
On the Impossibility of Fairness-Aware Learning from Corrupted Data
Nikola Konstantinov · Christoph Lampert
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 9:30
The Many Roles that Causal Reasoning Plays in Reasoning about Fairness in Machine Learning
Irene Y Chen · Hal Daumé III · Solon Barocas
Workshop
Mon 9:50
Fair Clustering Using Antidote Data
Anshuman Chhabra · Adish Singla · Prasant Mohapatra
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
Learning a Subspace of Policies for Online Adaptation in Reinforcement Learning
Jean-Baptiste Gaya · Laure Soulier · Ludovic Denoyer
Workshop
Mon 11:20
Spotlight 2: Models of fairness in federated learning
Kate Donahue · Jon Kleinberg
Workshop
Grounding Aleatoric Uncertainty in Unsupervised Environment Design
Minqi Jiang · Michael Dennis · Jack Parker-Holder · Andrei Lupu · Heinrich Kuttler · Edward Grefenstette · Tim Rocktäschel · Jakob Foerster
Workshop
Tue 15:00
(un)fairness in sequential decision making as a challenge (Razieh Nabi)
Razieh Nabi
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