I am currently a Machine Learning Ph.D student at Georgia Tech, advised by Vladimir Koltchinskii and Florian Schäffer.

My research mainly focus on
  • High dimensional and infinite dimensional statistics
  • Randomized numerical linear algebra
  • Mathematical perspective of modern machine learning models
  • Sampling and Optimization
  • Ai4Math, Mathematical proof generating and Lean code auto-revision
Before joining Gerogia Tech, I obtained my MS degree in Statistics at the University of Chicago, under the supervision of Lek-Heng Lim and Alexander Strang. I received my bachelor's degrees from the School of EECS and the School of Mathematical Science at Peking University.

Yucong Liu

yucongliu@gatech.edu

School of Mathematics
Georgia Institute of Technology
686 Cherry Street
Atlanta
USA

Publications

Published Articles
Preprint

Reading List

  • Mathematical Foundations of Infinite-Dimensional Statistical Models Evarist Giné, Richard Nickl
  • High-Dimensional Probability Roman Vershynin
  • Randomized numerical linear algebra: Foundations and algorithms Per-Gunnar Martinsson and Joel A. Tropp
  • Randomized Algorithms for Matrix Computations Joel A. Tropp
  • Mathematical Theory of Finite Elements Leszek F. Demkowicz
  • Real Algebraic Geometry Jacek Bochnak , Michel Coste , Marie-Françoise Roy
  • "Once again I had to put myself in a vulnerable position in order to become stronger." ― Cédric Villani, Birth of a Theorem: A Mathematical Adventure
    Plain Academic