2025 AISTATS Multi-agent Multi-armed Bandit Regret Complexity and Optimality Mengfan Xu, and Diego Klabjan International Conference on Artificial Intelligence and Statistics (AISTATS), 2025 HTML PDF Preprint Multi-agent Multi-armed Bandit with Fully Heavy-tailed Dynamics Xingyu Wang, and Mengfan Xu Preprint, 2025 PDF Preprint Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models Mengfan Xu, Liren Shan, Fatemeh Ghaffari, Xuchuang Wang, Xutong Liu, and Mohammad Hajiesmaili Preprint, 2025 PDF 2024 Arxiv Regret Bounds and Reinforcement Learning Exploration of EXP-based Algorithms Mengfan Xu, and Diego Klabjan arXiv, 2024 HTML PDF RLC Workshop Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit Mengfan Xu, and Diego Klabjan RLC Workshop on Coordination and Cooperation in Multi-Agent Reinforcement Learning (CoCoMARL), 2024 Honorable Mention HTML PDF 2023 NeurIPS Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards Mengfan Xu, and Diego Klabjan Advances on Neural Information Processing Systems (NeurIPS), 2023 Spotlight HTML PDF ICML Pareto Regret Analyses in Multi-objective Multi-armed Bandit Mengfan Xu, and Diego Klabjan International Conference on Machine Learning (ICML), 2023 HTML PDF 2022 KDD Gcf: Generalized causal forest for heterogeneous treatment effect estimation in online marketplace Shu Wan, Chen Zheng, Zhonggen Sun, Mengfan Xu, Xiaoqing Yang, Hongtu Zhu, and Jiecheng Guo In KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond, 2022 HTML PDF