Thompson Sampling for Combinatorial Semi-Bandits. - Siwei Wang 002; Wei Chen 013 (ICML, 2018)

Multi-armed Bandits with Compensation. - Siwei Wang 002; Longbo Huang (NeurIPS, 2018)

Dueling Bandits: From Two-dueling to Multi-dueling. - Yihan Du; Siwei Wang 002; Longbo Huang (AAMAS, 2020)

Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits. - Siwei Wang 002; Longbo Huang; John C. S. Lui (NeurIPS, 2020)

A One-Size-Fits-All Solution to Conservative Bandit Problems. - Yihan Du; Siwei Wang 002; Longbo Huang (AAAI, 2021)

Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback. - Siwei Wang 002; Haoyun Wang; Longbo Huang (AAAI, 2021)

Continuous Mean-Covariance Bandits. - Yihan Du; Siwei Wang 002; Zhixuan Fang; Longbo Huang (NeurIPS, 2021)

Pure Exploration Bandit Problem with General Reward Functions Depending on Full Distributions. - Siwei Wang 002; Wei Chen 013 (CoRR, 2021)

Thompson Sampling for (Combinatorial) Pure Exploration. - Siwei Wang 002; Jun Zhu (ICML, 2022)

Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness. - Qingsong Liu 001; Weihang Xu; Siwei Wang 002; Zhixuan Fang (NeurIPS, 2022)

Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms. - Xutong Liu 002; Jinhang Zuo; Siwei Wang 002; Carlee Joe-Wong; John C. S. Lui; Wei Chen 013 (NeurIPS, 2022)

Matching in Multi-arm Bandit with Collision. - Yirui Zhang; Siwei Wang 002; Zhixuan Fang (NeurIPS, 2022)

Risk-Sensitive Reinforcement Learning: Iterated CVaR and the Worst Path. - Yihan Du; Siwei Wang 002; Longbo Huang (CoRR, 2022)

Regret Analysis for Hierarchical Experts Bandit Problem. - Qihan Guo; Siwei Wang 002; Jun Zhu (CoRR, 2022)

The pure exploration problem with general reward functions depending on full distributions. - Siwei Wang 002; Wei Chen 013 (Mach. Learn., 2022)

Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path. - Yihan Du; Siwei Wang 002; Longbo Huang (ICLR, 2023)

Contextual Combinatorial Bandits with Probabilistically Triggered Arms. - Xutong Liu 002; Jinhang Zuo; Siwei Wang 002; John C. S. Lui; Mohammad Hajiesmaili; Adam Wierman; Wei Chen 013 (ICML, 2023)

Contextual Combinatorial Bandits with Probabilistically Triggered Arms. - Xutong Liu 002; Jinhang Zuo; Siwei Wang 002; John C. S. Lui; Mohammad H. Hajiesmaili; Adam Wierman; Wei Chen 020 (CoRR, 2023)

Taming the Exponential Action Set: Sublinear Regret and Fast Convergence to Nash Equilibrium in Online Congestion Games. - Jing Dong 008; Jingyu Wu; Siwei Wang 002; Baoxiang Wang 001; Wei Chen 020 (CoRR, 2023)

Balanced and Incentivized Learning with Limited Shared Information in Multi-agent Multi-armed Bandit. - Junning Shao; Siwei Wang 002; Zhixuan Fang (AAMAS, 2024)

Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback. - Yu Chen 074; Yihan Du; Pihe Hu; Siwei Wang 002; Desheng Wu; Longbo Huang (ICLR, 2024)

Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond. - Xutong Liu 002; Siwei Wang 002; Jinhang Zuo; Han Zhong; Xuchuang Wang; Zhiyong Wang; Shuai Li 010; Mohammad Hajiesmaili; John C. S. Lui; Wei Chen 020 (ICML, 2024)

Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation. - Yu Chen 074; Xiangcheng Zhang; Siwei Wang 002; Longbo Huang (ICML, 2024)

ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models. - Siwei Wang 002; Yifei Shen; Shi Feng; Haoran Sun; Shang-Hua Teng; Wei Chen 013 (NeurIPS, 2024)

Mechanism Design for LLM Fine-tuning with Multiple Reward Models. - Haoran Sun; Yurong Chen 002; Siwei Wang 002; Wei Chen 013; Xiaotie Deng (CoRR, 2024)

Combinatorial Rising Bandit. - Seockbean Song; Youngsik Yoon; Siwei Wang 002; Wei Chen 013; Jungseul Ok (CoRR, 2024)

Offline Learning for Combinatorial Multi-armed Bandits. - Xutong Liu 002; Xiangxiang Dai; Jinhang Zuo; Siwei Wang 002; Carlee Joe-Wong; John C. S. Lui; Wei Chen 013 (CoRR, 2025)

Continuous K-Max Bandits. - Yu Chen 074; Siwei Wang 002; Longbo Huang; Wei Chen 034 (CoRR, 2025)

Learning with Limited Shared Information in Multi-agent Multi-armed Bandit. - Junning Shao; Siwei Wang 002; Zhixuan Fang (CoRR, 2025)

Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation. - Xutong Liu 002; Baran Atalar; Xiangxiang Dai; Jinhang Zuo; Siwei Wang 002; John C. S. Lui; Wei Chen 013; Carlee Joe-Wong (CoRR, 2025)