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stat.ML2026
Unbounded Density Ratio Estimation and Its Application to Covariate Shift Adaptation
Ren-Rui Liu, Jun Fan, Lei Shi +1
This paper focuses on the problem of unbounded density ratio estimation -- an understudied yet critical challenge in statistical learning -- and its application to covariate shift…
stat.ML2025
Spectral Algorithms under Covariate Shift
Jun Fan, Zheng-Chu Guo, Lei Shi
Spectral algorithms leverage spectral regularization techniques to analyze and process data, providing a flexible framework for addressing supervised learning problems. To deepen o…
stat.ML2024
Stochastic Gradient Descent for Two-layer Neural Networks
Dinghao Cao, Zheng-Chu Guo, Lei Shi
This paper presents a comprehensive study on the convergence rates of the stochastic gradient descent (SGD) algorithm when applied to overparameterized two-layer neural networks. O…