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Poster
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Tue 14:00
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Diversified Recommendations for Agents with Adaptive Preferences
William Brown · Arpit Agarwal
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Workshop
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Sat 9:15
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Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes
Tennison Liu · Alex Chan · Boris van Breugel · Mihaela van der Schaar
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Poster
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Wed 9:00
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Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game
Zhiyuan Yao · Zihan Ding
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Poster
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Thu 9:00
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Robust Rent Division
Dominik Peters · Ariel Procaccia · David Zhu
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Poster
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Wed 14:00
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Self-Supervised Fair Representation Learning without Demographics
Junyi Chai · Xiaoqian Wang
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Workshop
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Building a Subspace of Policies for Scalable Continual Learning
Jean-Baptiste Gaya · Thang Long Doan · Lucas Page-Caccia · Laure Soulier · Ludovic Denoyer · Roberta Raileanu
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Workshop
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Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps
Sudeep Dasari · Vikash Kumar
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Poster
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Tue 14:00
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Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
Randall Balestriero · Yann LeCun
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Workshop
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MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
Mikayel Samvelyan · Akbir Khan · Michael Dennis · Minqi Jiang · Jack Parker-Holder · Jakob Foerster · Roberta Raileanu · Tim Rocktäschel
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Poster
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Tue 9:00
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Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems
Eric Yu · Zhizhen Qin · Min Kyung Lee · Sicun Gao
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Poster
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Wed 9:00
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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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Tue 9:00
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Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
Bang An · Zora Che · Mucong Ding · Furong Huang
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