基本信息
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个人简介
MIAOLAN XIE is a 5th-year Ph.D. Candidate in the Operations Research and Information Engineering Department at Cornell University, advised by Katya Scheinberg. Her research interests lie in the intersection of stochastic optimization and data science. In particular, she is interested in designing user-friendly and adaptive optimization algorithms that operate under realistic assumptions while still having good theoretical guarantees with tools in optimization, stochastic processes, and statistics. Miaolan received her Bachelor’s and Master’s degrees in Mathematics from the University of Waterloo. Before joining Cornell, she worked in Alibaba’s supply chain group as a data scientist. Her email address is mx229@cornell.edu and her homepage is https://miaolan.github.io/
研究兴趣
论文共 9 篇作者统计合作学者相似作者
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SIAM J. Optim.no. 3 (2024): 2411-2439
arXiv (Cornell University) (2023)
arXiv (Cornell University) (2023)
2023 Winter Simulation Conference (WSC)pp.3520-3531, (2023)
arXiv (Cornell University) (2022)
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (2021)
作者统计
#Papers: 9
#Citation: 26
H-Index: 2
G-Index: 3
Sociability: 2
Diversity: 1
Activity: 12
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