Probabilistic Guarantees of Stochastic Recursive Gradient in Non-convex Finite Sum Problems. - Yanjie Zhong; Jiaqi Li 032; Soumendra Lahiri (PAKDD (3), 2024)

Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models. - Jiaqi Li 032; Johannes Schmidt-Hieber; Wei Biao Wu (CoRR, 2024)

Statistical Guarantees for High-Dimensional Stochastic Gradient Descent. - Jiaqi Li 032; Zhipeng Lou; Johannes Schmidt-Hieber; Wei Biao Wu (NeurIPS, 2025)

Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient Descent. - Ziyang Wei; Jiaqi Li 032; Zhipeng Lou; Wei Biao Wu (NeurIPS, 2025)

Online Inference for Quantiles by Constant Learning-Rate Stochastic Gradient Descent. - Ziyang Wei; Jiaqi Li 032; Likai Chen; Wei Biao Wu (CoRR, 2025)