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Workshop
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Fairness-aware Missing Data Imputation Yiliang Zhang · Qi Long |
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Poster
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Fair Bayes-Optimal Classifiers Under Predictive Parity Xianli Zeng · Edgar Dobriban · Guang Cheng |
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Poster
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Wed 14:00 |
Fairness-Aware PAC Learning from Corrupted Data Nikola Konstantinov · Christoph Lampert |
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Workshop
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Pushing the Accuracy-Fairness Tradeoff Frontier with Introspective Self-play Jeremiah Liu · Krishnamurthy Dvijotham · Jihyeon Lee · Quan Yuan · Martin Strobel · Balaji Lakshminarayanan · Deepak Ramachandran |
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Poster
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Wed 9:00 |
Trade-off between Payoff and Model Rewards in Shapley-Fair Collaborative Machine Learning Quoc Phong Nguyen · Bryan Kian Hsiang Low · Patrick Jaillet |
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Poster
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Thu 14:00 |
Dungeons and Data: A Large-Scale NetHack Dataset Eric Hambro · Roberta Raileanu · Danielle Rothermel · Vegard Mella · Tim Rocktäschel · Heinrich Küttler · Naila Murray |
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Tutorial
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Mon 11:00 |
Incentive-Aware Machine Learning: A Tale of Robustness, Fairness, Improvement, and Performativity Chara Podimata |
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Poster
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Wed 9:00 |
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models Maribeth Rauh · John Mellor · Jonathan Uesato · Po-Sen Huang · Johannes Welbl · Laura Weidinger · Sumanth Dathathri · Amelia Glaese · Geoffrey Irving · Iason Gabriel · William Isaac · Lisa Anne Hendricks |
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Poster
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Thu 14:00 |
Nonstationary Dual Averaging and Online Fair Allocation Luofeng Liao · Yuan Gao · Christian Kroer |
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Poster
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Thu 9:00 |
Fairness in Federated Learning via Core-Stability Bhaskar Ray Chaudhury · Linyi Li · Mintong Kang · Bo Li · Ruta Mehta |
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Poster
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Tue 9:00 |
The Query Complexity of Cake Cutting Simina Branzei · Noam Nisan |
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Tutorial
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Mon 11:00 |
Algorithmic fairness: at the intersections Golnoosh Farnadi · Q.Vera Liao · Elliot Creager |