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

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 6:37

Fairness Degrading Adversarial Attacks Against Clustering Algorithms
Anshuman Chhabra · Adish Singla · Prasant Mohapatra

Workshop

Improving Fairness in Credit Lending Models using Subgroup Threshold Optimization
Cecilia Ying · Stephen Thomas

Oral

Fri 16:20

Retiring Adult: New Datasets for Fair Machine Learning
Frances Ding · Moritz Hardt · John Miller · Ludwig Schmidt

Demonstration

Tue 9:05

Training Transformers Together
Alexander Borzunov · Max Ryabinin · Tim Dettmers · quentin lhoest · Lucile Saulnier · Michael Diskin · Yacine Jernite · Thomas Wolf

Workshop

Tue 11:44

Simultaneous Improvement of ML Model Fairness and Performance by Identifying Bias in Data

Poster

Thu 16:30

Learning in Multi-Stage Decentralized Matching Markets
Xiaowu Dai · Michael Jordan

Workshop

Tue 9:15

P5: Exploring Fairness in District-based Electoral Systems through Calibrated Simulations

Results