Miao Lu

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About Me

Welcome to my homepage! I am a Ph.D. student of the Department of Management Science and Engineering (MS&E) at Stanford University, majoring in Operations Research. Prior to that, I obtained my Bachelor's degree in Probability and Statistics from the University of Science and Technology of China (USTC), where I won the Guo Moruo scholarship, the highest honor awarding undergraduates of USTC.

Research Interests

My research interests are primarily in designing and analyzing both robust and efficient machine learning algorithms, with a special focus on the theoretical foundations. With such a goal, I work broadly across the theory and application of reinforcement learning and deep learning. Currently I’m also interested in large language models and its interaction with decision making.

Contact Information

E-mail addresses: miaolu@stanford.edu, lumiao@mail.ustc.edu.cn

Here are my [Google Scholar] [GitHub] [LinkedIn] [CV]

Recent News

(Mar. 2024) I am presenting our work ‘‘Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage’’ at CISS 2024, see you at Princeton!

(Jan. 2024) Our paper (Benign Oscillation) accepted to International Conference on Learning Representations (ICLR) 2024!

(Oct. 2023) A new work released: ‘‘Benign Oscillation’’ for explaining generalization of large learning rate neural network training.