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31 Results
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Poster
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Thu 7:45 |
Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations Tong Wang |
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Poster
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Tue 14:00 |
The Price of Fair PCA: One Extra dimension Samira Samadi · Uthaipon Tantipongpipat · Jamie Morgenstern · Mohit Singh · Santosh Vempala |
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Poster
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Tue 14:00 |
To Trust Or Not To Trust A Classifier Heinrich Jiang · Been Kim · Melody Guan · Maya Gupta |
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Poster
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Thu 7:45 |
Why Is My Classifier Discriminatory? Irene Chen · Fredrik Johansson · David Sontag |
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Poster
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Tue 14:00 |
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer David Madras · Toni Pitassi · Richard Zemel |
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Poster
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Wed 14:00 |
Improving Simple Models with Confidence Profiles Amit Dhurandhar · Karthikeyan Shanmugam · Ronny Luss · Peder A Olsen |
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Poster
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Wed 14:00 |
Online Learning with an Unknown Fairness Metric Stephen Gillen · Christopher Jung · Michael Kearns · Aaron Roth |
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Poster
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Tue 14:00 |
Enhancing the Accuracy and Fairness of Human Decision Making Isabel Valera · Adish Singla · Manuel Gomez Rodriguez |
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Poster
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Wed 14:00 |
Equality of Opportunity in Classification: A Causal Approach Junzhe Zhang · Elias Bareinboim |
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Poster
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Tue 14:00 |
Contamination Attacks and Mitigation in Multi-Party Machine Learning Jamie Hayes · Olga Ohrimenko |
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Poster
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Thu 7:45 |
Human-in-the-Loop Interpretability Prior Isaac Lage · Andrew Ross · Samuel J Gershman · Been Kim · Finale Doshi-Velez |
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Poster
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Tue 7:45 |
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections Xin Zhang · Armando Solar-Lezama · Rishabh Singh |