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Poster
Tue 14:00 A theory of weight distribution-constrained learning
Weishun Zhong · Ben Sorscher · Daniel Lee · Haim Sompolinsky
Poster
Wed 14:00 Certifying Some Distributional Fairness with Subpopulation Decomposition
Mintong Kang · Linyi Li · Maurice Weber · Yang Liu · Ce Zhang · Bo Li
Poster
Tue 9:00 Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems
Shicheng Liu · Minghui Zhu
Poster
Tue 9:00 Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
Bang An · Zora Che · Mucong Ding · Furong Huang
Poster
Wed 9:00 Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game
Zhiyuan Yao · Zihan Ding
Workshop
Exploring Human-AI Collaboration for Fair Algorithmic Hiring
Hyun Joo Shin · Anqi Liu
Poster
Thu 14:00 Fairness Transferability Subject to Bounded Distribution Shift
Yatong Chen · Reilly Raab · Jialu Wang · Yang Liu
Poster
Wed 9:00 Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions
Shubham Gupta · Ambedkar Dukkipati
Poster
Thu 14:00 Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
Jessica Schrouff · Natalie Harris · Sanmi Koyejo · Ibrahim Alabdulmohsin · Eva Schnider · Krista Opsahl-Ong · Alexander Brown · Subhrajit Roy · Diana Mincu · Christina Chen · Awa Dieng · Yuan Liu · Vivek Natarajan · Alan Karthikesalingam · Katherine Heller · Silvia Chiappa · Alexander D'Amour
Poster
Thu 14:00 Diverse Weight Averaging for Out-of-Distribution Generalization
Alexandre Rame · Matthieu Kirchmeyer · Thibaud Rahier · Alain Rakotomamonjy · Patrick Gallinari · Matthieu Cord