Siwei Wang - RankMe

48 papers A* 17A 2Journal 28Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rising Multi-Armed Bandits with Known Horizons. CoRR Seockbean Song, Chenyu Gan, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
2025	J	`jnl`	Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective. CoRR Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen
2025	J	`jnl`	Continuous K-Max Bandits. CoRR Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
2025	J	`jnl`	Learning with Limited Shared Information in Multi-agent Multi-armed Bandit. CoRR Junning Shao, Siwei Wang, Zhixuan Fang
2025	A*	`conf`	Offline Learning for Combinatorial Multi-armed Bandits. ICML Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen
2025	J	`jnl`	Offline Learning for Combinatorial Multi-armed Bandits. CoRR Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen
2025	J	`jnl`	Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation. CoRR Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C. S. Lui, Wei Chen, Carlee Joe-Wong
2025	J	`jnl`	Understanding and Enhancing the Planning Capability of Language Models via Multi-Token Prediction. CoRR Qimin Zhong, Hao Liao, Siwei Wang, Mingyang Zhou, Xiaoqun Wu, Rui Mao, Wei Chen
2024	A*	`conf`	ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models. NeurIPS Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
2024	J	`jnl`	ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models. CoRR Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
2024	A	`conf`	Balanced and Incentivized Learning with Limited Shared Information in Multi-agent Multi-armed Bandit. AAMAS Junning Shao, Siwei Wang, Zhixuan Fang
2024	A*	`conf`	Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond. ICML Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C. S. Lui, Wei Chen
2024	J	`jnl`	Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond. CoRR Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C. S. Lui, Wei Chen
2024	J	`jnl`	Combinatorial Rising Bandit. CoRR Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
2024	—	`conf`	Convergence to Equilibrium of No-Regret Dynamics in Congestion Games. WINE Volkan Cevher, Wei Chen, Leello Dadi, Jing Dong, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Baoxiang Wang, Siwei Wang, Jingyu Wu
2024	J	`jnl`	Mechanism Design for LLM Fine-tuning with Multiple Reward Models. CoRR Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng
2024	J	`jnl`	Optimal Learning Policies for Differential Privacy in Multi-armed Bandits. J. Mach. Learn. Res. Siwei Wang, Jun Zhu
2024	A*	`conf`	Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation. ICML Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang
2024	J	`jnl`	Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation. CoRR Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang
2024	A*	`conf`	Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback. ICLR Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
2023	A*	`conf`	Contextual Combinatorial Bandits with Probabilistically Triggered Arms. ICML Xutong Liu, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
2023	J	`jnl`	Contextual Combinatorial Bandits with Probabilistically Triggered Arms. CoRR Xutong Liu, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad H. Hajiesmaili, Adam Wierman, Wei Chen
2023	A*	`conf`	Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path. ICLR Yihan Du, Siwei Wang, Longbo Huang
2023	J	`jnl`	Taming the Exponential Action Set: Sublinear Regret and Fast Convergence to Nash Equilibrium in Online Congestion Games. CoRR Jing Dong, Jingyu Wu, Siwei Wang, Baoxiang Wang, Wei Chen
2022	A*	`conf`	Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms. NeurIPS Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen
2022	J	`jnl`	Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms. CoRR Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen
2022	A*	`conf`	Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness. NeurIPS Qingsong Liu, Weihang Xu, Siwei Wang, Zhixuan Fang
2022	J	`jnl`	Dueling Bandits: From Two-dueling to Multi-dueling. CoRR Yihan Du, Siwei Wang, Longbo Huang
2022	A*	`conf`	Matching in Multi-arm Bandit with Collision. NeurIPS Yirui Zhang, Siwei Wang, Zhixuan Fang
2022	J	`jnl`	Regret Analysis for Hierarchical Experts Bandit Problem. CoRR Qihan Guo, Siwei Wang, Jun Zhu
2022	J	`jnl`	Risk-Sensitive Reinforcement Learning: Iterated CVaR and the Worst Path. CoRR Yihan Du, Siwei Wang, Longbo Huang
2022	J	`jnl`	The pure exploration problem with general reward functions depending on full distributions. Mach. Learn. Siwei Wang, Wei Chen
2022	A*	`conf`	Thompson Sampling for (Combinatorial) Pure Exploration. ICML Siwei Wang, Jun Zhu
2022	J	`jnl`	Thompson Sampling for (Combinatorial) Pure Exploration. CoRR Siwei Wang, Jun Zhu
2021	A*	`conf`	A One-Size-Fits-All Solution to Conservative Bandit Problems. AAAI Yihan Du, Siwei Wang, Longbo Huang
2021	A*	`conf`	Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback. AAAI Siwei Wang, Haoyun Wang, Longbo Huang
2021	A*	`conf`	Continuous Mean-Covariance Bandits. NeurIPS Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
2021	J	`jnl`	Continuous Mean-Covariance Bandits. CoRR Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
2021	J	`jnl`	Pure Exploration Bandit Problem with General Reward Functions Depending on Full Distributions. CoRR Siwei Wang, Wei Chen
2020	J	`jnl`	A One-Size-Fits-All Solution to Conservative Bandit Problems. CoRR Yihan Du, Siwei Wang, Longbo Huang
2020	J	`jnl`	Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback. CoRR Siwei Wang, Haoyun Wang, Longbo Huang
2020	A	`conf`	Dueling Bandits: From Two-dueling to Multi-dueling. AAMAS Yihan Du, Siwei Wang, Longbo Huang
2020	A*	`conf`	Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits. NeurIPS Siwei Wang, Longbo Huang, John C. S. Lui
2020	J	`jnl`	Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits. CoRR Siwei Wang, Longbo Huang, John C. S. Lui
2018	A*	`conf`	Multi-armed Bandits with Compensation. NeurIPS Siwei Wang, Longbo Huang
2018	J	`jnl`	Multi-armed Bandits with Compensation. CoRR Siwei Wang, Longbo Huang
2018	A*	`conf`	Thompson Sampling for Combinatorial Semi-Bandits. ICML Siwei Wang, Wei Chen
2018	J	`jnl`	Thompson Sampling for Combinatorial Semi-Bandits. CoRR Siwei Wang, Wei Chen