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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
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
Fairness-aware Missing Data Imputation
Yiliang Zhang · Qi Long
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
Workshop
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
Workshop
Pragmatic Fairness: Optimizing Policies with Outcome Disparity Control
Limor Gultchin · Siyuan Guo · Alan Malek · Silvia Chiappa · Ricardo Silva
Workshop
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
Workshop
Integrating Episodic and Global Bonuses for Efficient Exploration
Mikael Henaff · Minqi Jiang · Roberta Raileanu
Workshop
When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes
Canyu Chen · Yueqing Liang · Xiongxiao Xu · Shangyu Xie · Yuan Hong · Kai Shu
Workshop
When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes
Canyu Chen · Yueqing Liang · Xiongxiao Xu · Shangyu Xie · Yuan Hong · Kai Shu
Workshop
A Fair Loss Function for Network Pruning
Robbie Meyer · Alexander Wong