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33 Results
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Poster
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Tue 8:00 |
Detecting Out-of-Distribution Examples with Gram Matrices Chandramouli Shama Sastry · Sageev Oore |
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Poster
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Tue 9:00 |
Two Simple Ways to Learn Individual Fairness Metrics from Data Debarghya Mukherjee · Mikhail Yurochkin · Moulinath Banerjee · Yuekai Sun |
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Poster
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Wed 5:00 |
Fair k-Centers via Maximum Matching Matthew Jones · Huy Nguyen · Thy Nguyen |
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Poster
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Thu 8:00 |
Minimax Pareto Fairness: A Multi Objective Perspective Natalia Martinez Gil · Martin Bertran · Guillermo Sapiro |
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Poster
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Tue 7:00 |
Fair Generative Modeling via Weak Supervision Kristy Choi · Aditya Grover · Trisha Singh · Rui Shu · Stefano Ermon |
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Poster
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Thu 8:00 |
Generalized and Scalable Optimal Sparse Decision Trees Jimmy Lin · Chudi Zhong · Diane Hu · Cynthia Rudin · Margo Seltzer |
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Poster
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Wed 9:00 |
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning Esther Rolf · Max Simchowitz · Sarah Dean · Lydia T. Liu · Daniel Bjorkegren · Moritz Hardt · Joshua Blumenstock |
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Poster
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Tue 7:00 |
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach Martin Mladenov · Elliot Creager · Omer Ben-Porat · Kevin Swersky · Richard Zemel · Craig Boutilier |
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Poster
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Wed 8:00 |
Predictive Multiplicity in Classification Charles Marx · Flavio Calmon · Berk Ustun |
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Poster
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Tue 7:00 |
Fair Learning with Private Demographic Data Hussein Mozannar · Mesrob Ohannessian · Nati Srebro |
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Poster
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Tue 8:00 |
Feature Noise Induces Loss Discrepancy Across Groups Fereshte Khani · Percy Liang |
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Poster
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Thu 6:00 |
FACT: A Diagnostic for Group Fairness Trade-offs Joon Kim · Jiahao Chen · Ameet Talwalkar |