Publications

Globally-Optimal Greedy Active Sequential Estimation

Xiaoou Li, and Hongru Zhao. IEEE Transactions on Information Theory 71, no. 5 (2025): 3871–3924.
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Subspace decompositions for association structure learning in multivariate categorical response regression

Hongru Zhao, Aaron J. Molstad, and Adam J. Rothman. Submitted, Journal of the American Statistical Association (2025)
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Distributed Algorithms for High-Dimensional Statistical Inference and Structure Learning with Heterogeneous Data

Hongru Zhao, and Xiaotong Shen. Submitted, Statistica Sinica (2025).
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Convergence Analysis and Trajectory Comparison of Gradient Descent for Overparameterized Deep Linear Networks

Hongru Zhao, Jinchao Xu. Transactions on Machine Learning Research (2024)
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Exponential stability of the linear KdV-BBM equation

Kangsheng Liu, Zhuangyi Liu, and Hongru Zhao. Discrete and Continuous Dynamical Systems-B 29, no. 3 (2024): 1206-1216.
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Limiting empirical spectral distribution for products of rectangular matrices

Yongcheng Qi, and Hongru Zhao. Journal of Mathematical Analysis and Applications 502, no. 2 (2021): 125237.
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