Wei Biao Wu

4 papers · 2018–2026 · 1 venue · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

JMLR (4)

Top co-authors

Likai Chen (2) Johannes Schmidt-Hieber (1) Georg Keilbar (1) Jiaqi Li (1) Wanrong Zhu (1) Zhipeng Lou (1)

Research topics

Machine Learning (4) Optimization & Theory · Machine Learning (4) Mathematics & Optimization (3) Deep Learning (2) Optimization (2) Optimization & Theory · Deep Learning (2) Data Science & Analytics (1) Learning Types (1) Methods (1) Probability (1) Statistics (1)

Keywords

stochastic gradient descent (2) statistical learning (1) concentration inequalities (1) stochastic process (1) linear regression (1) polyak-ruppert averaging (1) online inference (1) concentration inequality (1) dropout regularization (1) quantile estimation (1) multi-armed bandit (1) asymptotic normality (1) concentration bound (1) error bound (1) empirical process (1) confidence bound (1) heavy-tailed noise (1) non-asymptotic bound (1) central limit theorem (1) nagaev bound (1)

Papers

Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models JMLR 2026 Recursive Quantile Estimation: Non-Asymptotic Confidence Bounds JMLR 2023 Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent JMLR 2022 Concentration inequalities for empirical processes of linear time series JMLR 2018