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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