Yuchen Li

Ph.D. candidate in math at University of Wisconsin-Madison

Publications and Preprints:

  • “Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms.”
    Yuchen Li, Laura Balzano, Deanna Needell, and Hanbaek Lyu
    International Conference on Machine Learning (ICML 2024) [Preprint, Paper]
  • “Block Majorization-minimization with Diminishing Radius for Constrained Nonconvex Optimization.”
    Hanbaek Lyu and Yuchen Li
    Submitted to SIAM Journal on Optimization (SIOPT) [Preprint, Github] (2023)
  • “Convergence and Complexity of Block Majorization-minimization for Constrained Block-Riemannian Optimization.”
    Yuchen Li, Laura Balzano, Deanna Needell, and Hanbaek Lyu
    Submitted to Journal of Machine Learning Research (JMLR) [Preprint] (2023)
  • “An Efficient Continuous Data Assimilation Algorithm for the Sabra Shell Model of Turbulence.”
    Nan Chen, Yuchen Li, and Evelyn Lunasin
    Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol.31, Issue 10, 2021. [Journal, Preprint]

Talks/Presentations/Posters:

  • “Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms”, SIAM Conference on Mathematics of Data Science (SIAM MDS24), Atlanta, October 21st-25th, 2024
  • “First-order Methods for Large-scale Optimization”, SIAM Conference on Mathematics of Data Science (SIAM MDS24), Atlanta, October 21st-25th, 2024
  • “Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms”, ICML 2024, Vienna, Austria, July 21st-27th, 2024
  • “Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms”, IFDS idea forum, Institute for Foundations of Data Science, April 1st 2024
  • “Block Majorization-minimization on Riemannian manifolds”, IFDS annual meeting, Institute for Foundations of Data Science, August 2nd 2023. [Poster]
  • “Convergence and Complexity of Block Majorization-minimization on Riemannian manifolds”, IFDS idea forum, Institute for Foundations of Data Science, April 10th 2023. [Slides]
  • “An Efficient Continuous in Time Data Assimilation Algorithm for Sabra Shell Model of Turbulence”, SIAM Conference on Applications of Dynamical Systems (SIAM DS21), May 23rd-27th 2021. [Slides]