Hengquan Guo

7 papers · 2022–2025 · 6 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

Jump to papers ↓

🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🏆 Keyword Champion (2)

Venues

IJCAI (2) COLT (1) ICLR (1) ICML (1) L4DC (1) NeurIPS (1)

Top co-authors

Xin Liu (7) Lei Ying (1) Zhu Qi (1) Honghao Wei (1) Yongxin Xu (1) Lingkai Zu (1) Ziyu Shao (1) Haobo Zhang (1)

Research topics

Machine Learning (7) Optimization & Theory (6) Mathematics & Optimization (5) Optimization (5) Learning Types (4) Artificial Intelligence (1) Reinforcement Learning (1) Applications (1) Core AI (1)

Keywords

regret bound (5) constraint violation (4) contextual bandit (3) constrained optimization (2) lyapunov optimization (2) online convex optimization (2) primal-dual algorithm (1) adaptive learning rate (1) optimism (1) regret (1) online algorithm (1) adaptive algorithm (1) gradient variation (1) online regression (1) online scheduling (1) knapsack constraint (1) hard constraint (1) continuum-armed bandit (1) cumulative constraint violation (1) multi-stage task (1)

Papers

No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks IJCAI 2025 On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime ICLR 2025 On the Power of Optimism in Constrained Online Convex Optimization IJCAI 2025 Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints ICML 2025 Stochastic Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework COLT 2024 Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints L4DC 2023 Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond NeurIPS 2022