I'm a fifth year Ph.D. student in the Statistics Department at Stanford University advised by Professor Art Owen. I'm a participant of the Stanford Data Science Scholar program. I received my Bachelor's degree in mathematics from Tsinghua University in 2019. Here is my CV.

Papers

• Langevin Quasi-Monte Carlo
  Sifan Liu
  NeurIPS 2023

• An Exact Sampler for Inference after Polyhedral Model Selection
  Sifan Liu
  Manuscript 2023

• Selective Inference with Distributed Data
  Sifan Liu, Snigdha Panigrahi
  Manuscript 2023

• Conditional Quasi-Monte Carlo with Constrained Active Subspaces
  Sifan Liu
  Manuscript 2022

• Black-box Selective Inference via Bootstrapping
  Sifan Liu, Jelena Markovic, Jonathan Taylor
  Manuscript 2022

• Pre-integration via Active Subspaces
  Sifan Liu, Art B. Owen
  SIAM Journal on Numerical Analysis, 2023

• Global and Individualized Community Detection in Inhomogeneous Multilayer Networks
  Shuxiao Chen, Sifan Liu, Zongming Ma
  Annals of Statistics, 2022

• Statistical Challenges in Tracking the Evolution of SARS-CoV-2
  Lorenzo Cappello, Jaehee Kim, Sifan Liu, Julia A. Palacios
  Statistical Science, 2022

• Quasi-Monte Carlo Quasi-Newton for Variational Bayes
  Sifan Liu, Art B. Owen
  Journal of Machine Learning Research, 2021

• How to Reduce Dimension with PCA and Random Projections?
  Fan Yang, Sifan Liu, Edgar Dobriban, David P. Woodruff
  IEEE Transactions on Information Theory, 2021

• Limiting Spectrum of Randomized Hadamard Transform and Optimal Iterative Sketching Methods
  Jonathan Lacotte, Sifan Liu, Edgar Dobriban, Mert Pilanci
  NeurIPS 2020

• Ridge Regression: Structure, Cross-validation, and Sketching
  Sifan Liu, Edgar Dobriban
  ICLR 2020, Spotlight.

• Asymptotics for Sketching in Least Squares Regression
  Edgar Dobriban, Sifan Liu
  NeurIPS 2019

Contact

• Email: sfliu@stanford.edu