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Workshop
Fairness-aware Missing Data Imputation
Yiliang Zhang · Qi Long
Poster
Fair Bayes-Optimal Classifiers Under Predictive Parity
Xianli Zeng · Edgar Dobriban · Guang Cheng
Poster
Wed 14:00 Fairness-Aware PAC Learning from Corrupted Data
Nikola Konstantinov · Christoph Lampert
Workshop
Pushing the Accuracy-Fairness Tradeoff Frontier with Introspective Self-play
Jeremiah Liu · Krishnamurthy Dvijotham · Jihyeon Lee · Quan Yuan · Martin Strobel · Balaji Lakshminarayanan · Deepak Ramachandran
Poster
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
Poster
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
Tutorial
Mon 11:00 Incentive-Aware Machine Learning: A Tale of Robustness, Fairness, Improvement, and Performativity
Chara Podimata
Poster
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
Poster
Thu 14:00 Nonstationary Dual Averaging and Online Fair Allocation
Luofeng Liao · Yuan Gao · Christian Kroer
Poster
Thu 9:00 Fairness in Federated Learning via Core-Stability
Bhaskar Ray Chaudhury · Linyi Li · Mintong Kang · Bo Li · Ruta Mehta
Poster
Tue 9:00 The Query Complexity of Cake Cutting
Simina Branzei · Noam Nisan
Tutorial
Mon 11:00 Algorithmic fairness: at the intersections
Golnoosh Farnadi · Q.Vera Liao · Elliot Creager