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 am a consulting researcher and interned during Summer 2021 and 2022 with Sébastien Bubeck and Suriya Gunasekar in the Machine Learning Foundations group at MSR Redmond. At UW, I work on sampling algorithms for high-dimensional and ill-conditioned distributions. At MSR, I work on language models, where I currently focus on using transformers to do arithmetic operations. Selected PublicationsSamplingNon-Euclidean Sampling
Proximal Sampling
Complexity of Sampling
Applications
Deep Learning
(α-β stands for alphabetical author order. Full publication list.) |