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Minhak Song

Undergraduate Student
KAIST
minhaksong (at) kaist.ac.kr


About Me

Hi! My name is Minhak Song (송민학), and I am an undergraduate student at KAIST, majoring in Mathematical Sciences (minor in Industrial and Systems Engineering). My research interests lie in the theoretical foundations of modern machine learning, with the goal of bridging theory and practice. Recently, I have been studying the training dynamics of optimization algorithms in deep learning under the guidance of Prof. Chulhee Yun. Currently, I am a visiting student at the University of Washington, hosted by Prof. Simon Du, where I am working on reinforcement learning from human feedback (RLHF) from an optimization perspective.

Feel free to reach out for discussions and potential collaborations!

Research Interests

News

Publications

  1. Ruizhe Shi*, Minhak Song*, Runlong Zhou, Zihan Zhang, Maryam Fazel, Simon Du
    (*Equal contribution)
    Manuscript, 2025.
  2. Geonhui Yoo, Minhak Song, Chulhee Yun
    International Conference on Machine Learning (ICML), 2025.
  3. Minhak Song, Kwangjun Ahn, Chulhee Yun
    International Conference on Learning Representations (ICLR), 2025.
    ICML 2024 Workshop on High-dimensional Learning Dynamics: The Emergence of Structure and Reasoning.
  4. Kwangjun Ahn*, Xiang Cheng*, Minhak Song*, Chulhee Yun, Ali Jadbabaie, Suvrit Sra
    (*Equal contribution)
    International Conference on Learning Representations (ICLR), 2024.
    NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning (Oral).
  5. Minhak Song, Chulhee Yun
    Neural Information Processing Systems (NeurIPS), 2023.

Services

Conference/Workshop Reviewer