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Workshop
Investigating the Fairness of Large Language Models for Predictions on Tabular Data
Yanchen Liu · Srishti Gautam · Jiaqi Ma · Himabindu Lakkaraju
Workshop
Addressing The Cost Of Fairness In A Data Market Over Time
Augustin Chaintreau · Roland Maio · Juba Ziani
Workshop
Sat 12:40 The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning
Justin Kang · Kannan Ramchandran · Ramtin Pedarsani
Workshop
Fri 11:03 Addressing The Cost Of Fairness In A Data Market Over Time
Augustin Chaintreau · Roland Maio · Juba Ziani
Workshop
Algorithmic Fairness Reproducibility: A Close Look at Data Usage over the Years
Jan Simson · Alessandro Fabris · Christoph Kern
Workshop
Procedural Fairness Through Decoupling Objectionable Data Generating Components
Zeyu Tang · Jialu Wang · Yang Liu · Peter Spirtes · Kun Zhang
Poster
Wed 8:45 Trading-off price for data quality to achieve fair online allocation
Mathieu Molina · Nicolas Gast · Patrick Loiseau · Vianney Perchet
Workshop
Strong statistical parity through fair synthetic data
Ivona Krchova · Michael Platzer · Paul Tiwald
Workshop
Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets
Brandon Smith · Miguel Farinha · Siobhan Mackenzie Hall · Hannah Rose Kirk · Aleksandar Shtedritski · Max Bain
Workshop
Sat 11:30 Diversity and Synthetic data
Adji Bousso Dieng
Workshop
Fri 11:00 Procedural Fairness Through Decoupling Objectionable Data Generating Components
Zeyu Tang · Jialu Wang · Yang Liu · Peter Spirtes · Kun Zhang
Workshop
Associative Memories with Heavy-Tailed Data
Vivien Cabannes · Elvis Dohmatob · Alberto Bietti