Junpei Komiyama

Junpei Komiyama

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

Nonconvex Optimization for Regression with Fairness Constraints

Published in International Conference on Machine Learning (ICML), 2018

This paper develops nonconvex optimization methods for regression problems with fairness constraints. We address algorithmic bias in machine learning by proposing optimization algorithms that can handle fairness constraints while maintaining predictive performance.

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Recommended citation: Komiyama, J., Takeda, A., Honda, J., & Shimao, H. (2018). “Nonconvex Optimization for Regression with Fairness Constraints.” In Proceedings of the 35th International Conference on Machine Learning (ICML 2018).

Recommended citation: Komiyama, J., Takeda, A., Honda, J., & Shimao, H. (2018). "Nonconvex Optimization for Regression with Fairness Constraints." In Proceedings of the 35th International Conference on Machine Learning (ICML 2018).
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