Wei Biao Wu

Full Professor, University of Chicago

Joined

May 2022

Names

Wei Biao Wu (Preferred)

Emails

****@uchicago.edu (Confirmed)

Personal Links

Homepage

Career & Education History

Full Professor

University of Chicago (uchicago.edu)

2012 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Online Statistical Inference of Constrained Stochastic Optimization via Random Scaling
Xinchen Du, Wanrong Zhu, Wei Biao Wu, Sen Na
- OpenReview Archive Direct Upload
- Readers: Everyone
Refining Covariance Matrix Estimation in Stochastic Gradient Descent Through Bias Reduction
Ziyang Wei, Wanrong Zhu, Jingyang Lyu, Wei Biao Wu
- AISTATS 2026 Poster
- Readers: Everyone
General Weighted Averaging in Stochastic Gradient Descent: CLT and Adaptive Optimality
Ziyang Wei, Wanrong Zhu, Wei Biao Wu
- AISTATS 2026 Poster
- Readers: Everyone
Identifying stability regions of SGD with constant learning rates
Or Goldreich, Soham Bonnerjee, Qianqian Lei, Jiaqi Li, Wei Biao Wu
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Sharp asymptotic theory for Q-learning with \texttt{LD2Z} learning rate and its generalization
Soham Bonnerjee, Zhipeng Lou, Wei Biao Wu
- ICLR 2026 Poster
- Readers: Everyone
Online Statistical Inference of Constrained Stochastic Optimization via Random Scaling
Xinchen Du, Wanrong Zhu, Wei Biao Wu, Sen Na
- NeurIPS 2025 Workshop MLxOR
- Readers: Everyone
Asymptotic theory of SGD with a general learning-rate
Or Goldreich, Ziyang Wei, Soham Bonnerjee, Jiaqi Li, Wei Biao Wu
- NeurIPS 2025 poster
- Readers: Everyone
Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient Descent
Ziyang Wei, Jiaqi Li, Zhipeng Lou, Wei Biao Wu
- NeurIPS 2025 poster
- Readers: Everyone
Sharp Gaussian approximations for Decentralized Federated Learning
Soham Bonnerjee, Sayar Karmakar, Wei Biao Wu
- NeurIPS 2025 spotlight
- Readers: Everyone
Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
Jiaqi Li, Zhipeng Lou, Johannes Schmidt-Hieber, Wei Biao Wu
- NeurIPS 2025 poster
- Readers: Everyone