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Poster
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Thu 15:00 |
Neural Network Control Policy Verification With Persistent Adversarial Perturbation Yuh-Shyang Wang · Tsui-Wei Weng · Luca Daniel |
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Poster
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Wed 5:00 |
Data preprocessing to mitigate bias: A maximum entropy based approach L. Elisa Celis · Vijay Keswani · Nisheeth K. Vishnoi |
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Poster
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Thu 6:00 |
A Pairwise Fair and Community-preserving Approach to k-Center Clustering Brian Brubach · Darshan Chakrabarti · John P Dickerson · Samir Khuller · Aravind Srinivasan · Leonidas Tsepenekas |
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Poster
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Wed 13:00 |
Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge Laura Rieger · Chandan Singh · William Murdoch · Bin Yu |
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Poster
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Wed 11:00 |
DeBayes: a Bayesian Method for Debiasing Network Embeddings Maarten Buyl · Tijl De Bie |
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Poster
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Thu 9:00 |
Bounding the fairness and accuracy of classifiers from population statistics Sivan Sabato · Elad Yom-Tov |
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Poster
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Wed 10:00 |
How to Solve Fair k-Center in Massive Data Models Ashish Chiplunkar · Sagar Kale · Sivaramakrishnan Natarajan Ramamoorthy |
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Poster
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Wed 5:00 |
Causal Modeling for Fairness In Dynamical Systems Elliot Creager · David Madras · Toniann Pitassi · Richard Zemel |
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Poster
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Tue 7:00 |
Individual Fairness for k-Clustering Sepideh Mahabadi · Ali Vakilian |
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Poster
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Wed 8:00 |
Individual Calibration with Randomized Forecasting Shengjia Zhao · Tengyu Ma · Stefano Ermon |
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Poster
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Wed 12:00 |
Too Relaxed to Be Fair Michael Lohaus · Michaël Perrot · Ulrike von Luxburg |
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Poster
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Tue 8:00 |
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards Umer Siddique · Paul Weng · Matthieu Zimmer |