Ruoqi Shen
AboutI am a PhD student in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, advised by Yin Tat Lee. I received my B.S. in Computer Science from California Institute of Technology in 2018. I interned with Sébastien Bubeck and Suriya Gunasekar in the Machine Learning Foundations group at MSR Redmond during Summer 2021 and 2022. I visited Simons Institute for the Geometric Methods in Optimization and Sampling program in Fall 2021. I visited IAS for Special Year on Optimization, Statistics, and Theoretical Machine Learning from Sep 2019 to Apr 2020. ResearchMy current research interests are in
Selected PublicationsSamplingNon-Euclidean Sampling
Proximal Sampling
Complexity of Sampling
Applications
Deep learning
(α-β stands for alphabetical author order. Full publication list.) |