Junpei Komiyama

Junpei Komiyama

Assistant Professor at MBZUAI. Research: Machine Learning, Multi-armed Bandits, Monte Carlo Tree Search, Algorithmic Bias

Learning Fair Division from Bandit Feedback

Published in International Conference on Artificial Intelligence and Statistics (AISTATS), 2024

This paper develops algorithms for learning fair division mechanisms from bandit feedback. We combine fairness considerations with sequential decision-making, proposing methods that can learn optimal fair division policies through interaction with the environment.

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Recommended citation: Yamada, H., Komiyama, J., Abe, K., & Iwasaki, A. (2024). “Learning Fair Division from Bandit Feedback.” In International Conference on Artificial Intelligence and Statistics (AISTATS 2024).

Recommended citation: Yamada, H., Komiyama, J., Abe, K., & Iwasaki, A. (2024). "Learning Fair Division from Bandit Feedback." In International Conference on Artificial Intelligence and Statistics (AISTATS 2024).
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