Mengfan Xu

Ph.D. candidate in IEMS at Northwestern and incoming assistant professor at UMass Amherst.

Github.JPG

Tech Institute C151

2145 Sheridan Road

Evanston, IL, 60208, U.S.A.

Contact: mengfanxu@umass.edu, MengfanXu2023@u.northwestern.edu, mengfan.xu@northwestern.edu

Hi! I am Mengfan, a final year Ph.D. candidate from the Department of Industrial Engineering and Management Sciences at Northwestern University, where I am very fortunate and grateful to be advised by Prof. Diego Klabjan. Previously, I obtained my Bachelor’s degree in Statistics from University of Science and Technology of China (USTC) in 2018.

I will be joining the Department of Mechanical and Industrial Engineering at UMass Amherst as a tenure-track assistant professor in September 2024! I am actively seeking PhD students and Research Assistants. If you are interested in working with me, please feel free to send me an email mengfanxu@umass.edu :blush:

My research goal is to formulate online sequential decision-making problems and subsequently develop algorithms that are provably optimal for addressing them, with a particular emphasis on Multi-armed Bandits. What I am aiming for is to capture the intricate dynamics within the underlying structures with new methodologies, driven by real world problems faced by decision makers and with applications accross a wide range of domains. In general, my research interests are as follows:

  • Multi-armed Bandit
  • Sequential decision making under uncertainty
  • Statistical Learning
  • Reinforcement Learning
  • Stochastic processes/optimization
  • e-Commerce
  • Causal Inference

news

Mar, 2024 I am happy to share that I will be joining the Department of Mechanical and Industrial Engineering at the University of Massachusetts Amherst as a tenure-track assistant professor starting September 2024! :sparkles: :heart:
Sep, 2023 I am happy to share that our paper, titled “Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards”, has been accepted at NeurIPS 2023 as a Spotlight! :sparkles: :heart:
Aug, 2023 I am happy to share that our abstract, titled “Multi-agent and Multi-objective Multi-armed Bandit”, will be presented at Informs Annual Meeting on Oct. 17th in Phoenix, AZ!
Apr, 2023 I am happy to share that our paper, titled “Pareto Regret Analyses in Multi-objective Multi-armed Bandit”, has been accepted at ICML 2023! :sparkles: :heart: