ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
NeurIPS 2024 | December 2024
Siwei Wang
Senior Researcher
Publications
Publications by Year
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Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang
ICML 2024 | July 2024
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen
Proceedings of the 41st International Conference on Machine Learning (ICML) | July 2024
A Game-theoretic Framework for Privacy-preserving Federated Learning
Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
ACM Transactions on Intelligent Systems and Technology | May 2024, Vol 15: pp. 1-35
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
2024 International Conference on Learning Representations | May 2024
Whittle Index with Multiple Actions and State Constraint for Inventory Management
Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian
2024 International Conference on Learning Representations | May 2024
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Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation
Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
ICLR 2024 | July 2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms
Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
Yihan Du, Siwei Wang, Longbo Huang
The Eleventh International Conference on Learning Representations | May 2023
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Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness
Qingsong Liu, Weihang Xu, Siwei Wang, Zhixuan Fang
NeurIPS 2022 | December 2022
Matching in Multi-arm Bandit with Collision
Yirui Zhang, Siwei Wang, Zhixuan Fang
NeurIPS 2022 | December 2022
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022
The pure exploration problem with general reward functions depending on full distributions
Machine Learning | July 2022
Thompson Sampling for (Combinatorial) Pure Exploration
Siwei Wang, Jun Zhu
2022 International Conference on Machine Learning | July 2022
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Continuous Mean-Covariance Bandits
Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
2021 Neural Information Processing Systems | December 2021
A One-Size-Fits-All Solution to Conservative Bandit Problems
Yihan Du, Siwei Wang, Longbo Huang
The AAAI Conference on Artificial Intelligence | February 2021
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback
Siwei Wang, Haoyun Wang, Longbo Huang
The AAAI Conference on Artificial Intelligence | February 2021
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Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
Siwei Wang, Longbo Huang, John C.S. Lui
2020 Neural Information Processing Systems | December 2020
Dueling Bandits: From Two-dueling to Multi-dueling
Yihan Du, Siwei Wang, Longbo Huang
International Conference on Autonomous Agents and Multi-Agent Systems | May 2020
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Multi-armed Bandits with Compensation
Siwei Wang, Longbo Huang
2018 Neural Information Processing Systems | December 2018
Thompson Sampling for Combinatorial Semi-Bandits
Proceedings of the 35th International Conference on Machine Learning (ICML'2018) | July 2018
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Tight Bound on Randomness for Violating the Clauser–Horne–Shimony–Holt Inequality
Yifeng Teng, Shenghao Yang, Siwei Wang, Mingfei Zhao
IEEE Transactions on Information Theory | April 2016
Publications by Research Area
-
ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
NeurIPS 2024 | December 2024
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang
ICML 2024 | July 2024
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen
Proceedings of the 41st International Conference on Machine Learning (ICML) | July 2024
A Game-theoretic Framework for Privacy-preserving Federated Learning
Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
ACM Transactions on Intelligent Systems and Technology | May 2024, Vol 15: pp. 1-35
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
2024 International Conference on Learning Representations | May 2024
Whittle Index with Multiple Actions and State Constraint for Inventory Management
Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian
2024 International Conference on Learning Representations | May 2024
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation
Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
ICLR 2024 | July 2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms
Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
Yihan Du, Siwei Wang, Longbo Huang
The Eleventh International Conference on Learning Representations | May 2023
Matching in Multi-arm Bandit with Collision
Yirui Zhang, Siwei Wang, Zhixuan Fang
NeurIPS 2022 | December 2022
Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness
Qingsong Liu, Weihang Xu, Siwei Wang, Zhixuan Fang
NeurIPS 2022 | December 2022
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022
The pure exploration problem with general reward functions depending on full distributions
Machine Learning | July 2022
Thompson Sampling for (Combinatorial) Pure Exploration
Siwei Wang, Jun Zhu
2022 International Conference on Machine Learning | July 2022
Continuous Mean-Covariance Bandits
Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
2021 Neural Information Processing Systems | December 2021
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback
Siwei Wang, Haoyun Wang, Longbo Huang
The AAAI Conference on Artificial Intelligence | February 2021
A One-Size-Fits-All Solution to Conservative Bandit Problems
Yihan Du, Siwei Wang, Longbo Huang
The AAAI Conference on Artificial Intelligence | February 2021
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
Siwei Wang, Longbo Huang, John C.S. Lui
2020 Neural Information Processing Systems | December 2020
Dueling Bandits: From Two-dueling to Multi-dueling
Yihan Du, Siwei Wang, Longbo Huang
International Conference on Autonomous Agents and Multi-Agent Systems | May 2020
Multi-armed Bandits with Compensation
Siwei Wang, Longbo Huang
2018 Neural Information Processing Systems | December 2018
Thompson Sampling for Combinatorial Semi-Bandits
Proceedings of the 35th International Conference on Machine Learning (ICML'2018) | July 2018
-
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen
Proceedings of the 41st International Conference on Machine Learning (ICML) | July 2024
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022
Thompson Sampling for Combinatorial Semi-Bandits
Proceedings of the 35th International Conference on Machine Learning (ICML'2018) | July 2018
-
Tight Bound on Randomness for Violating the Clauser–Horne–Shimony–Holt Inequality
Yifeng Teng, Shenghao Yang, Siwei Wang, Mingfei Zhao
IEEE Transactions on Information Theory | April 2016
Publications by Type
-
ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
NeurIPS 2024 | December 2024
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang
ICML 2024 | July 2024
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen
Proceedings of the 41st International Conference on Machine Learning (ICML) | July 2024
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
2024 International Conference on Learning Representations | May 2024
Whittle Index with Multiple Actions and State Constraint for Inventory Management
Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian
2024 International Conference on Learning Representations | May 2024
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation
Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
ICLR 2024 | July 2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms
Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
Yihan Du, Siwei Wang, Longbo Huang
The Eleventh International Conference on Learning Representations | May 2023
Matching in Multi-arm Bandit with Collision
Yirui Zhang, Siwei Wang, Zhixuan Fang
NeurIPS 2022 | December 2022
Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness
Qingsong Liu, Weihang Xu, Siwei Wang, Zhixuan Fang
NeurIPS 2022 | December 2022
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS) | November 2022
Thompson Sampling for (Combinatorial) Pure Exploration
Siwei Wang, Jun Zhu
2022 International Conference on Machine Learning | July 2022
Continuous Mean-Covariance Bandits
Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
2021 Neural Information Processing Systems | December 2021
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback
Siwei Wang, Haoyun Wang, Longbo Huang
The AAAI Conference on Artificial Intelligence | February 2021
A One-Size-Fits-All Solution to Conservative Bandit Problems
Yihan Du, Siwei Wang, Longbo Huang
The AAAI Conference on Artificial Intelligence | February 2021
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
Siwei Wang, Longbo Huang, John C.S. Lui
2020 Neural Information Processing Systems | December 2020
Dueling Bandits: From Two-dueling to Multi-dueling
Yihan Du, Siwei Wang, Longbo Huang
International Conference on Autonomous Agents and Multi-Agent Systems | May 2020
Multi-armed Bandits with Compensation
Siwei Wang, Longbo Huang
2018 Neural Information Processing Systems | December 2018
Thompson Sampling for Combinatorial Semi-Bandits
Proceedings of the 35th International Conference on Machine Learning (ICML'2018) | July 2018
-
A Game-theoretic Framework for Privacy-preserving Federated Learning
Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
ACM Transactions on Intelligent Systems and Technology | May 2024, Vol 15: pp. 1-35
The pure exploration problem with general reward functions depending on full distributions
Machine Learning | July 2022
Tight Bound on Randomness for Violating the Clauser–Horne–Shimony–Holt Inequality
Yifeng Teng, Shenghao Yang, Siwei Wang, Mingfei Zhao
IEEE Transactions on Information Theory | April 2016