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math.ST2023
Scalable Statistical Inference in Non-parametric Least Squares
Meimei Liu, Zuofeng Shang, Yun Yang
Stochastic approximation (SA) is a powerful and scalable computational method for iteratively estimating the solution of optimization problems in the presence of randomness, partic…
math.ST2023★ 2 cited
Minimax optimal high-dimensional classification using deep neural networks
Shuoyang Wang, Zuofeng Shang
High-dimensional classification is a fundamentally important research problem in high-dimensional data analysis. In this paper, we derive a nonasymptotic rate for the minimax exces…
math.ST2022★ 1 cited
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary
Tianyang Hu, Ruiqi Liu, Zuofeng Shang +1
Deep learning has gained huge empirical successes in large-scale classification problems. In contrast, there is a lack of statistical understanding about deep learning methods, par…