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math.ST2025
Navigating Sparsities in High-Dimensional Linear Contextual Bandits
Rui Zhao, Zihan Chen, Zemin Zheng
High-dimensional linear contextual bandit problems remain a significant challenge due to the curse of dimensionality. Existing methods typically consider either the model parameter…
math.ST2021
High-dimensional inference via hybrid orthogonalization
Yang Li, Zemin Zheng, Jia Zhou +1
The past decade has witnessed a surge of endeavors in statistical inference for high-dimensional sparse regression, particularly via de-biasing or relaxed orthogonalization. Nevert…
math.ST2014★ 4 cited
Discussion: "A significance test for the lasso"
Jinchi Lv, Zemin Zheng
Discussion of "A significance test for the lasso" by Richard Lockhart, Jonathan Taylor, Ryan J. Tibshirani, Robert Tibshirani [arXiv:1301.7161].