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Poster
Wed 16:30 An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning
Cyrus Cousins
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
Workshop
Mon 3:30 On the Impossibility of Fairness-Aware Learning from Corrupted Data
Nikola Konstantinov · Christoph Lampert
Workshop
Mon 1:52 Invited Talk: Path-specific effects and ML fairness
Silvia Chiappa
Workshop
Stochastic Polyak Stepsize with a Moving Target
Robert Gower · Aaron Defazio · Mike Rabbat
Workshop
Enforcing fairness in private federated learning via the modified method of differential multipliers
Borja Rodríguez Gálvez · Filip Granqvist · Rogier van Dalen · Matthew Seigel
Affinity Workshop
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
Affinity Workshop
Fri 5:50 Invited talk – Seeing the unseen: Inferring unobserved information from limited sensory data, Adriana Romero Soriano
Adriana Romero
Poster
Thu 16:30 COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu · Aviral Kumar · Rafael Rafailov · Aravind Rajeswaran · Sergey Levine · Chelsea Finn
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