Offline Learning for Combinatorial Multi-armed Bandits
Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025
Siwei Wang
Chercheur senior
Papiers de Collaboration
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Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
Junning Shao, Siwei Wang, Zhixuan Fang
The 24th International Conference on Autonomous Agents and Multiagent Systems | May 2025
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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
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Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits
Jiayuan Liu, Siwei Wang, Zhixuan Fang
The 24th International Conference on Autonomous Agents and Multi-Agent Systems | December 2024
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Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng
Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024
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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
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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
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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
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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
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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
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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
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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
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Matching in Multi-arm Bandit with Collision
Yirui Zhang, Siwei Wang, Zhixuan Fang
NeurIPS 2022 | December 2022
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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
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The pure exploration problem with general reward functions depending on full distributions
Machine Learning | July 2022
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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
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A One-Size-Fits-All Solution to Conservative Bandit Problems
Yihan Du, Siwei Wang, Longbo Huang
The AAAI Conference on Artificial Intelligence | February 2021
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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
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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
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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
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Offline Learning for Combinatorial Multi-armed Bandits
Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025
-
Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
Junning Shao, Siwei Wang, Zhixuan Fang
The 24th International Conference on Autonomous Agents and Multiagent Systems | May 2025
-
Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits
Jiayuan Liu, Siwei Wang, Zhixuan Fang
The 24th International Conference on Autonomous Agents and Multi-Agent Systems | December 2024
-
Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng
Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024
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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
-
-
-
Offline Learning for Combinatorial Multi-armed Bandits
Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025
-
Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng
Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 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
-
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
-
-
-
Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng
Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024
-
-
-
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
-
-
-
Offline Learning for Combinatorial Multi-armed Bandits
Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025
-
Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
Junning Shao, Siwei Wang, Zhixuan Fang
The 24th International Conference on Autonomous Agents and Multiagent Systems | May 2025
-
Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits
Jiayuan Liu, Siwei Wang, Zhixuan Fang
The 24th International Conference on Autonomous Agents and Multi-Agent Systems | December 2024
-
Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun, Yurong Chen, Siwei Wang, Wei Chen, Xiaotie Deng
Pluralistic Alignment Workshop in Neural Information Processing Systems (NeurIPS) | December 2024
-
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
-