Hi! I am a PhD student in Computer Science at Cornell University. I received my MSc degree in Computer Science at the University of British Columbia, where I was supervised by Mark Schmidt. I am interested in developing optimization algorithms for large-scale machine learning.

Publications

  • Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation.
    S. Y. Meng*, S. Vaswani*, I. Laradji, M. Schmidt, S. Lacoste-Julien.
    The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.
    [ArXiv]
    A shorter version of this paper has been accepted at the Beyond First Order Methods in Machine Learning workshop (NeurIPS 2019) for a spotlight talk.

  • UD Co-Spaces: A Table-Centred Multi-Display Environment for Public Engagement in Urban Design Charrettes
    N. Mahyar, K. J. Burke, J. E. Xiang, S. Y. Meng, K. S. Booth, C. L. Girling, R. W. Kellett.
    ACM International Conference on Interactive Surfaces and Spaces (ACM ISS), 2016. [Honorable mention]
    [Paper]

    * indicates equal contribution.