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Thu Dec 12, 2019

Time East Exhibition Hall B + C
10:45 AM (Posters)
Envy-Free Classification East Exhibition Hall B + C #77
Fair Algorithms for Clustering East Exhibition Hall B + C #78
Noise-tolerant fair classification East Exhibition Hall B + C #81
Paradoxes in Fair Machine Learning East Exhibition Hall B + C #83
Towards Automatic Concept-based Explanations East Exhibition Hall B + C #86
05:00 PM (Posters)
Inherent Tradeoffs in Learning Fair Representations East Exhibition Hall B + C #111
On Relating Explanations and Adversarial Examples East Exhibition Hall B + C #114
On Testing for Biases in Peer Review East Exhibition Hall B + C #115
On the (In)fidelity and Sensitivity of Explanations East Exhibition Hall B + C #116
Policy Learning for Fairness in Ranking East Exhibition Hall B + C #117
Unlocking Fairness: a Trade-off Revisited East Exhibition Hall B + C #119