Wu, Wei Biao

7 publications

ICLR 2026 Sharp Asymptotic Theory for Q-Learning with \texttt{LD2Z} Learning Rate and Its Generalization Soham Bonnerjee, Zhipeng Lou, Wei Biao Wu

NeurIPS 2025 Asymptotic Theory of SGD with a General Learning-Rate Or Goldreich, Ziyang Wei, Soham Bonnerjee, Jiaqi Li, Wei Biao Wu

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

NeurIPS 2025 Sharp Gaussian Approximations for Decentralized Federated Learning Soham Bonnerjee, Sayar Karmakar, Wei Biao Wu

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

JMLR 2023 Recursive Quantile Estimation: Non-Asymptotic Confidence Bounds Likai Chen, Georg Keilbar, Wei Biao Wu

JMLR 2022 Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent Wanrong Zhu, Zhipeng Lou, Wei Biao Wu