Lui, John C. S.

50 publications

AAAI 2025 An Enhanced Levenberg-Marquardt Method via Gram Reduction Chengchang Liu, Luo Luo, John C. S. Lui

ICLR 2025 Bandit Learning in Matching Markets with Indifference Fang Kong, Jingqi Tang, Mingzhu Li, Pinyan Lu, John C.S. Lui, Shuai Li

ICLR 2025 Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C.S. Lui

ICML 2025 Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Ruhan Wang, Zhiyong Wang, Chengkai Huang, Rui Wang, Tong Yu, Lina Yao, John C.S. Lui, Dongruo Zhou

ICML 2025 Fusing Reward and Dueling Feedback in Stochastic Bandits Xuchuang Wang, Qirun Zeng, Jinhang Zuo, Xutong Liu, Mohammad Hajiesmaili, John C.S. Lui, Adam Wierman

ICLRW 2025 Large Language Model-Enhanced Multi-Armed Bandits Jiahang Sun, Zhiyong Wang, Runhan Yang, Chenjun Xiao, John C.S. Lui, Zhongxiang Dai

ICLR 2025 Model-Based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds Zhiyong Wang, Dongruo Zhou, John C.S. Lui, Wen Sun

ICML 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

ICML 2025 Online Clustering of Dueling Bandits Zhiyong Wang, Jiahang Sun, Mingze Kong, Jize Xie, Qinghua Hu, John C.S. Lui, Zhongxiang Dai

MLJ 2025 Panda: Partially Approximate Newton Methods for Distributed Minimax Optimization with Unbalanced Dimensions Minheng Xiao, Chengchang Liu, Cheng Chen, John C. S. Lui, Sen Na

ICML 2025 Provable Zero-Shot Generalization in Offline Reinforcement Learning Zhiyong Wang, Chen Yang, John C.S. Lui, Dongruo Zhou

ICML 2025 Quantum Algorithms for Finite-Horizon Markov Decision Processes Bin Luo, Yuwen Huang, Jonathan Allcock, Xiaojun Lin, Shengyu Zhang, John C.S. Lui

AAAI 2025 Quantum Best Arm Identification with Quantum Oracles Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade, Jonathan Allcock, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley

NeurIPS 2025 Quantum Speedups for Minimax Optimization and Beyond Chengchang Liu, Zongqi Wan, Jialin Zhang, Xiaoming Sun, John C.S. Lui

ICLR 2025 Stochastic Bandits Robust to Adversarial Attacks Xuchuang Wang, Maoli Liu, Jinhang Zuo, Xutong Liu, John C.S. Lui, Mohammad Hajiesmaili

AISTATS 2025 Variance-Dependent Regret Bounds for Nonstationary Linear Bandits Zhiyong Wang, Jize Xie, Yi Chen, John C.S. Lui, Dongruo Zhou

ICML 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

NeurIPS 2024 D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models Yikun Jiang, Huanyu Wang, Lei Xie, Hanbin Zhao, Chao Zhang, Hui Qian, John C.S. Lui

IJCAI 2024 FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients Zhuohua Li, Maoli Liu, John C. S. Lui

AAAI 2024 Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen

ICML 2024 Quantum Algorithm for Online Exp-Concave Optimization Jianhao He, Chengchang Liu, Xutong Liu, Lvzhou Li, John C.S. Lui

NeurIPS 2024 Quantum Algorithms for Non-Smooth Non-Convex Optimization Chengchang Liu, Chaowen Guan, Jianhao He, John C.S. Lui

ICMLW 2024 Towards Zero-Shot Generalization in Offline Reinforcement Learning Zhiyong Wang, Chen Yang, John C.S. Lui, Dongruo Zhou

ICMLW 2024 Variance-Dependent Regret Bounds for Nonstationary Linear Bandits Zhiyong Wang, Jize Xie, Yi Chen, John C.S. Lui, Dongruo Zhou

IJCAI 2023 A Survey of Federated Evaluation in Federated Learning Behnaz Soltani, Yipeng Zhou, Venus Haghighi, John C. S. Lui

ICLR 2023 Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C.S. Lui

NeurIPS 2023 Block Broyden's Methods for Solving Nonlinear Equations Chengchang Liu, Cheng Chen, Luo Luo, John C.S. Lui

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

AAAI 2023 Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits Zhiyong Wang, Xutong Liu, Shuai Li, John C. S. Lui

UAI 2023 Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-Agent Bandits? Xuchuang Wang, Lin Yang, Yu-zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C.S. Lui

NeurIPS 2023 Multi-Fidelity Multi-Armed Bandits Revisited Xuchuang Wang, Qingyun Wu, Wei Chen, John C.S. Lui

AISTATS 2023 On-Demand Communication for Asynchronous Multi-Agent Bandits Yu-Zhen Janice Chen, Lin Yang, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley

NeurIPS 2023 Online Clustering of Bandits with Misspecified User Models Zhiyong Wang, Jize Xie, Xutong Liu, Shuai Li, John C.S. Lui

NeurIPS 2023 Online Corrupted User Detection and Regret Minimization Zhiyong Wang, Jize Xie, Tong Yu, Shuai Li, John C.S. Lui

NeurIPS 2023 Uncertainty-Aware Instance Reweighting for Off-Policy Learning Xiaoying Zhang, Junpu Chen, Hongning Wang, Hong Xie, Yang Liu, John C.S. Lui, Hang Li

AISTATS 2022 Online Competitive Influence Maximization Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen

NeurIPS 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

UAI 2022 Federated Online Clustering of Bandits Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C.S. Lui

IJCAI 2022 Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications Xuchuang Wang, Hong Xie, John C. S. Lui

ICML 2022 Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms Xuchuang Wang, Hong Xie, John C. S. Lui

NeurIPS 2021 Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley

ICML 2021 Multi-Layered Network Exploration via Random Walks: From Offline Optimization to Online Learning Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui

NeurIPS 2020 Adversarial Bandits with Corruptions: Regret Lower Bound and No-Regret Algorithm Lin Yang, Mohammad Hajiesmaili, Mohammad Sadegh Talebi, John C. S. Lui, Wing Shing Wong

NeurIPS 2020 Restless-UCB, an Efficient and Low-Complexity Algorithm for Online Restless Bandits Siwei Wang, Longbo Huang, John C. S. Lui

AAAI 2019 Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning Hong Xie, Yongkun Li, John C. S. Lui

AAAI 2019 Submodular Optimization over Streams with Inhomogeneous Decays Junzhou Zhao, Shuo Shang, Pinghui Wang, John C. S. Lui, Xiangliang Zhang

AAAI 2019 Understanding Persuasion Cascades in Online Product Rating Systems Hong Xie, Yongkun Li, John C. S. Lui

IJCAI 2018 Beyond the Click-Through Rate: Web Link Selection with Multi-Level Feedback Kun Chen, Kechao Cai, Longbo Huang, John C. S. Lui

NeurIPS 2018 Community Exploration: From Offline Optimization to Online Learning Xiaowei Chen, Weiran Huang, Wei Chen, John C. S. Lui

IJCAI 2018 Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations Xiaoying Zhang, Hong Xie, Junzhou Zhao, John C. S. Lui