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Zhengqing Zhou

4 papers · 2019–2022 · 3 venues · 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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🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird πŸ“ˆ Trend Setter

Venues

NeurIPS (2) AISTATS (1) ICML (1)

Top co-authors

Jose Blanchet (3) Qinxun Bai (2) Zhengyuan Zhou (2) Linhai Qiu (1) Zijun Gao (1) Perry Dong (1) Wei Xu (1) Yanjun Han (1) Peter W. Glynn (1) Zhimei Ren (1)

Research topics

Machine Learning (4) Learning Types (3) Optimization & Theory (3) Mathematics & Optimization (2) Reinforcement Learning (2) Methods (2) Optimization (2) Applications (1) Core Methods (1)

Keywords

distributionally robust optimization (3) regret bound (2) robust policy (2) robust regression (1) offline reinforcement learning (1) robust reinforcement learning (1) regret minimization (1) nonparametric regression (1) batch learning (1) distributionally robust (1) multi-armed bandit (1) stochastic bandit (1) tabular reinforcement learning (1) convex regression (1) successive elimination (1) monte carlo (1) worst-case policy (1) batched algorithm (1) robust value estimation (1) absolute error loss (1)

Papers

Distributionally Robust Q-Learning ICML 2022 Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning AISTATS 2021 Batched Multi-armed Bandits Problem NeurIPS 2019 Multivariate Distributionally Robust Convex Regression under Absolute Error Loss NeurIPS 2019