Yanglei Song
Scholar

Yanglei Song

Google Scholar ID: ml_oZOkAAAAJ
Assistant Professor, Queen's University
Statistics
Citations & Impact
All-time
Citations
286
 
H-index
6
 
i10-index
5
 
Publications
20
 
Co-authors
0
 
Resume
Academic Achievements
  • Published numerous academic papers, including 'Efficient Importance Sampling for Wrong Exit Probabilities over Combinatorially Many Rare Regions', 'Minimax Rate-Optimal Algorithms for High-Dimensional Stochastic Linear Bandits', and several others that are currently under review or submitted.
Research Experience
  • Assistant Professor in the Department of Mathematics and Statistics at Queen's University, Kingston, ON, Canada.
Education
  • Ph.D. in Statistics from the University of Illinois at Urbana-Champaign, 2019; M.Sc. in Mathematics from the University of Illinois at Urbana-Champaign, 2016; B. Eng. in Electronic Engineering from Tsinghua University, 2012.
Background
  • Research focuses on sequential decision-making, including multiple testing, change-point detection, adaptive experimental design, and contextual bandits. Also works on statistical inference in complex settings, such as high-dimensional inference, U-statistics, regression with thresholded covariates, and inference under covariate-adaptive designs.