On the Sublinear Regret of Continuous K-Max Bandits
Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
42nd Conference on Uncertainty in Artificial Intelligence (UAI) | August 2026
Siwei Wang
Senior Researcher
출판물
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PaT: Planning-after-Trial for Efficient Test-Time Code Generation
Youngsik Yoon, Sungjae Lee, Seockbean Song, Siwei Wang, Wei Chen, Jungseul Ok
The 64th Annual Meeting of the Association for Computational Linguistics (ACL), Main Conference | July 2026
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When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models
Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
May 2026
arXiv | May 2026
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Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation
Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C.S. Lui, Wei Chen, Carlee Joe-Wong
IEEE International Conference on Computer Communications (INFOCOM) | May 2026
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Continuous Semantic Caching for Low-Cost LLM Serving
Baran Atalar, Xutong Liu, Jinhang Zuo, Siwei Wang, Wei Chen, Carlee Joe-Wong
April 2026
arXiv | April 2026
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Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen
The 14th International Conference on Learning Representations (ICLR) | April 2026
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Combinatorial Rising Bandits
Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
The 14th International Conference on Learning Representations (ICLR) | April 2026
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Rising Multi-Armed Bandits with Known Horizons
Seockbean Song, Chenyu Gan, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
ArXiv | February 2026, 제 abs/2602.10727 권
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Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng
Neural Information Processing Systems (NeurIPS) 2025 | December 2025
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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
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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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Continuous K-Max Bandits
Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
ArXiv | February 2025, 제 abs/2502.13467 권
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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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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, 제 15 권: 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
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
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
International Conference on Machine Learning | July 2022
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Continuous Mean-Covariance Bandits
Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
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
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
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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On the Sublinear Regret of Continuous K-Max Bandits
Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
42nd Conference on Uncertainty in Artificial Intelligence (UAI) | August 2026
-
PaT: Planning-after-Trial for Efficient Test-Time Code Generation
Youngsik Yoon, Sungjae Lee, Seockbean Song, Siwei Wang, Wei Chen, Jungseul Ok
The 64th Annual Meeting of the Association for Computational Linguistics (ACL), Main Conference | July 2026
-
Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation
Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C.S. Lui, Wei Chen, Carlee Joe-Wong
IEEE International Conference on Computer Communications (INFOCOM) | May 2026
-
Combinatorial Rising Bandits
Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
The 14th International Conference on Learning Representations (ICLR) | April 2026
-
Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen
The 14th International Conference on Learning Representations (ICLR) | April 2026
-
Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng
Neural Information Processing Systems (NeurIPS) 2025 | December 2025
-
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
-
Continuous K-Max Bandits
Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
ArXiv | February 2025, 제 abs/2502.13467 권
-
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
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-
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On the Sublinear Regret of Continuous K-Max Bandits
Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
42nd Conference on Uncertainty in Artificial Intelligence (UAI) | August 2026
-
PaT: Planning-after-Trial for Efficient Test-Time Code Generation
Youngsik Yoon, Sungjae Lee, Seockbean Song, Siwei Wang, Wei Chen, Jungseul Ok
The 64th Annual Meeting of the Association for Computational Linguistics (ACL), Main Conference | July 2026
-
When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models
Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
May 2026
arXiv | May 2026
-
Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation
Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C.S. Lui, Wei Chen, Carlee Joe-Wong
IEEE International Conference on Computer Communications (INFOCOM) | May 2026
-
Continuous Semantic Caching for Low-Cost LLM Serving
Baran Atalar, Xutong Liu, Jinhang Zuo, Siwei Wang, Wei Chen, Carlee Joe-Wong
April 2026
arXiv | April 2026
-
Combinatorial Rising Bandits
Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
The 14th International Conference on Learning Representations (ICLR) | April 2026
-
Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen
The 14th International Conference on Learning Representations (ICLR) | April 2026
-
Rising Multi-Armed Bandits with Known Horizons
Seockbean Song, Chenyu Gan, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
ArXiv | February 2026, 제 abs/2602.10727 권
-
Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng
Neural Information Processing Systems (NeurIPS) 2025 | December 2025
-
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
-
Continuous K-Max Bandits
Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
ArXiv | February 2025, 제 abs/2502.13467 권
-
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
-
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, 제 15 권: 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
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
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
International Conference on Machine Learning | July 2022
-
Continuous Mean-Covariance Bandits
Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
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
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
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
-
-
-
When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models
Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
May 2026
arXiv | May 2026
-
-
-
Rising Multi-Armed Bandits with Known Horizons
Seockbean Song, Chenyu Gan, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
ArXiv | February 2026, 제 abs/2602.10727 권
-
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
-
-
-
Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng
Neural Information Processing Systems (NeurIPS) 2025 | December 2025
-
-
-
On the Sublinear Regret of Continuous K-Max Bandits
Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
42nd Conference on Uncertainty in Artificial Intelligence (UAI) | August 2026
-
PaT: Planning-after-Trial for Efficient Test-Time Code Generation
Youngsik Yoon, Sungjae Lee, Seockbean Song, Siwei Wang, Wei Chen, Jungseul Ok
The 64th Annual Meeting of the Association for Computational Linguistics (ACL), Main Conference | July 2026
-
Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation
Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C.S. Lui, Wei Chen, Carlee Joe-Wong
IEEE International Conference on Computer Communications (INFOCOM) | May 2026
-
Combinatorial Rising Bandits
Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
The 14th International Conference on Learning Representations (ICLR) | April 2026
-
Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen
The 14th International Conference on Learning Representations (ICLR) | April 2026
-
Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun, Yurong Chen, Siwei Wang, Xu Chu, Wei Chen, Xiaotie Deng
Neural Information Processing Systems (NeurIPS) 2025 | December 2025
-
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
-
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
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
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
International Conference on Machine Learning | July 2022
-
Continuous Mean-Covariance Bandits
Yihan Du, Siwei Wang, Zhixuan Fang, Longbo Huang
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
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
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
-
-
-
When Are Experts Misrouted? Counterfactual Routing Analysis in Mixture-of-Experts Language Models
Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
May 2026
arXiv | May 2026
-
Continuous Semantic Caching for Low-Cost LLM Serving
Baran Atalar, Xutong Liu, Jinhang Zuo, Siwei Wang, Wei Chen, Carlee Joe-Wong
April 2026
arXiv | April 2026
-
-
-
Rising Multi-Armed Bandits with Known Horizons
Seockbean Song, Chenyu Gan, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
ArXiv | February 2026, 제 abs/2602.10727 권
-
Continuous K-Max Bandits
Yu Chen, Siwei Wang, Longbo Huang, Wei Chen
ArXiv | February 2025, 제 abs/2502.13467 권
-
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, 제 15 권: 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
-