I am a PhD candidate in Computer Science at Cornell University under the supervision of Chris De Sa. In summer 2022 and 2023, I worked with Robert Gower at the Flatiron Institute, Center for Computational Mathematics. In 2020, I received my MSc degree in Computer Science at the University of British Columbia, where I was advised by Mark Schmidt. I am interested in developing optimization algorithms for large-scale machine learning.

Publications

• A Model-Based Method for Minimizing CVaR and Beyond
  Si Yi Meng, Robert M. Gower
  ICML 2023
  

• A General Analysis of Example-Selection for Stochastic Gradient Descent
  Yucheng Lu*, Si Yi Meng*, Chris De Sa
  ICLR 2022 (Spotlight)
  

• Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation
  Si Yi Meng*, Sharan Vaswani*, Issam H. Laradji, Mark Schmidt, Simon Lacoste-Julien
  AISTATS 2020
  

• UD Co-Spaces: A Table-Centred Multi-Display Environment for Public Engagement in Urban Design Charrettes
  Narges Mahyar, Kelly J. Burke, Jialiang Xiang, Si Yi Meng, Kellogg S. Booth, Cynthia L. Girling, Ronald W. Kellett
  ACM ISS 2016 (Honorable mention)
  

  ^{* indicates equal contribution}