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Poster
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Wed 16:30 |
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning Cyrus Cousins |
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Workshop
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Tue 9:20 |
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents Andrew Estornell |
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Workshop
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Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents Andrew Estornell · Sanmay Das · Yang Liu · Yevgeniy Vorobeychik |
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Workshop
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Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents Andrew Estornell · Sanmay Das · Yang Liu · Yevgeniy Vorobeychik |
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Workshop
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Mon 3:30 |
On the Impossibility of Fairness-Aware Learning from Corrupted Data Nikola Konstantinov · Christoph Lampert |
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Workshop
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Mon 1:52 |
Invited Talk: Path-specific effects and ML fairness Silvia Chiappa |
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Workshop
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Stochastic Polyak Stepsize with a Moving Target Robert Gower · Aaron Defazio · Mike Rabbat |
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Workshop
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Enforcing fairness in private federated learning via the modified method of differential multipliers Borja Rodríguez Gálvez · Filip Granqvist · Rogier van Dalen · Matthew Seigel |
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Affinity Workshop
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Maintaining fairness across distribution shifts: do we have viable solutions for real-world applications? Jessica Schrouff · Natalie Harris · Sanmi Koyejo · Ibrahim Alabdulmohsin · Eva Schnider · Diana Mincu · Christina Chen · Awa Dieng · Yuan Liu · Vivek Natarajan · Katherine Heller · Alexander D'Amour |
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Affinity Workshop
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Fri 5:50 |
Invited talk – Seeing the unseen: Inferring unobserved information from limited sensory data, Adriana Romero Soriano Adriana Romero |
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Poster
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Thu 16:30 |
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu · Aviral Kumar · Rafael Rafailov · Aravind Rajeswaran · Sergey Levine · Chelsea Finn |
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Datasets and Benchmarks
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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 |