Jaeyeon Kim

Jaeyeon Kim

Ph.D. Student

Harvard University

Biography

Hi, my name is Jaeyeon Kim! I’m a first-year Ph.D. student at Harvard CS, prospectively advised by Sitan Chen and Sham Kakade. My research interest spans the theory and science of artificial intelligence. I received B.S. in Mathematics from Seoul National University, where I closely worked with Ernest Ryu in optimization theory.

I’m currently working at:

  • Training dynamics of diffusion models
  • Science of In-Context Learning
  • Theory of Low-Rank Adaptation

Feel free to reach me! I’m open to discussion and potential collaboration.

Interests
  • Optimization Theory
  • Science of Deep Learning
Education
  • Ph.D. in Computer Science, 2024

    Harvard University

  • B.S. in Mathematics, 2020

    Seoul National University

Recent News

  2024.09   I’ll start my Ph.D. at Harvard University, prospectively advised by Prof. Sitan Chen. I’m really thrilled to pursue my research career at Harvard University!

  2024.08   I’m honored to be selected as Ilju Foundation scholarship, which supports graduate students studying abroad.

  2024.04   Excited to announce my new paper, Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique (ICML 2024, Spotlight, Top 3.5%). By proposing novel algorithms, we suggested that the optimal acceleration mechanism in minimax optimization and fixed-point problems is not unique. Surprisingly, our new algorithms are H-dual to the prior anchor-based accelerated methods: We discover H-duality in another setups!

  2023.12   I attended NeurIPS 2023 and gave a poster presentation.

Experience

 
 
 
 
 
Research Intern at MIT
Under Professor Asuman Ozdaglar
July 2023 – August 2023
Research on Optimization Theory
 
 
 
 
 
Research Intern at Seoul National University
Under Professor Ernest Ryu
September 2022 – August 2024
Research on Optimization Theory