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publications
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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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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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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Distributed Algorithms for High-Dimensional Statistical Inference and Structure Learning with Heterogeneous Data
Hongru Zhao, and Xiaotong Shen. Statistica Sinica (2025).
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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 Machine Learning Research (2025)
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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Allocation-Constrained Adaptive Design and Sequential Estimation: Theory and Application to Bradley–Terry–Davidson Models
Hongru Zhao. Submitted, Annals of the Institute of Statistical Mathematics (2025).
On Validating Angular Power Spectral Models for the Stochastic Gravitational-Wave Background Without Distributional Assumptions
Sara Algeri, Xiangyu Zhang, Erik Floden, Hongru Zhao, Galin Jones, Vuk Mandic, and Jesse Miller. Submitted, Physical Review D (2025).
Testing models for angular power spectra: A distribution-free approach
Sara Algeri, Xiangyu Zhang, Erik Floden, Hongru Zhao, Galin L. Jones, Vuk Mandic, and Jesse Miller. Physical Review D (2025).
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talks
Talk on Convergence Analysis and Trajectory Comparison of Gradient Descent for Overparameterized Deep Linear Networks
Poster Presentation on Learning Association Structures via Subspace Decomposition in Multivariate Categorical Response Regression
teaching
STAT 3011 - Intro Statistical Analysis
Undergraduate course, UMN, School of Statistics, 2023
STAT 3301 - Regression and Statistical Computing
Undergraduate course, UMN, School of Statistics, 2024
STAT 4101 - Theory of Statistics I
Undergraduate course, UMN, School of Statistics, 2024
STAT 3301 - Regression and Statistical Computing
Undergraduate course, UMN, School of Statistics, 2025