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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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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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Fairness-aware Missing Data Imputation Yiliang Zhang · Qi Long |
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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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Workshop
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Train Offline, Test Online: A Real Robot Learning Benchmark Gaoyue Zhou · Victoria Dean · Mohan Kumar Srirama · Aravind Rajeswaran · Jyothish Pari · Kyle Hatch · Aryan Jain · Tianhe Yu · Pieter Abbeel · Lerrel Pinto · Chelsea Finn · Abhinav Gupta |
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Workshop
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Pragmatic Fairness: Optimizing Policies with Outcome Disparity Control Limor Gultchin · Siyuan Guo · Alan Malek · Silvia Chiappa · Ricardo Silva |
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Workshop
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Sat 10:15 |
Train Offline, Test Online: A Real Robot Learning Benchmark Gaoyue Zhou · Victoria Dean · Mohan Kumar Srirama · Aravind Rajeswaran · Jyothish Pari · Kyle Hatch · Aryan Jain · Tianhe Yu · Pieter Abbeel · Lerrel Pinto · Chelsea Finn · Abhinav Gupta |
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Workshop
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Integrating Episodic and Global Bonuses for Efficient Exploration Mikael Henaff · Minqi Jiang · Roberta Raileanu |
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Workshop
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When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes Canyu Chen · Yueqing Liang · Xiongxiao Xu · Shangyu Xie · Yuan Hong · Kai Shu |
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Workshop
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When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes Canyu Chen · Yueqing Liang · Xiongxiao Xu · Shangyu Xie · Yuan Hong · Kai Shu |
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Workshop
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A Fair Loss Function for Network Pruning Robbie Meyer · Alexander Wong |