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Oral
Thu Jul 12th 11:00 -- 11:20 AM @ A6
Multicalibration: Calibration for the (Computationally-Identifiable) Masses
Ursula Hebert-Johnson · Michael Kim · Omer Reingold · Guy Rothblum
Oral
Thu Jul 12th 11:20 -- 11:30 AM @ A6
Residual Unfairness in Fair Machine Learning from Prejudiced Data
Nathan Kallus · Angela Zhou
Oral
Thu Jul 12th 11:30 -- 11:40 AM @ A6
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
Borja de Balle Pigem · Yu-Xiang Wang
Oral
Thu Jul 12th 11:40 -- 11:50 AM @ A6
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms
Xueru Zhang · Mohammad Khalili · Mingyan Liu
Oral
Thu Jul 12th 11:50 AM -- 12:00 PM @ A6
Adversarial Regression with Multiple Learners
Liang Tong · Sixie Yu · Scott Alfeld · Yevgeniy Vorobeychik