Junpei Komiyama

Junpei Komiyama

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

High-dimensional Contextual Bandit Problem without Sparsity

Published in Advances in Neural Information Processing Systems (NeurIPS), 2023

This paper addresses high-dimensional contextual bandit problems without sparsity assumptions. We provide theoretical guarantees and practical algorithms for contextual bandits in high-dimensional settings where traditional sparsity assumptions do not hold.

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Recommended citation: Komiyama, J., & Imaizumi, M. (2023). “High-dimensional Contextual Bandit Problem without Sparsity.” In Advances in Neural Information Processing Systems (NeurIPS 2023).

Recommended citation: Komiyama, J., & Imaizumi, M. (2023). "High-dimensional Contextual Bandit Problem without Sparsity." In Advances in Neural Information Processing Systems (NeurIPS 2023).
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