Publications

A list of papers I am working on or have worked on.

2026

  1. NeurIPS
    Understanding Schedule-Free Methods in Nonconvex Optimization: Rate Guarantees and Escaping Saddles
    Jiseok Chae and Donghwan Kim
    Advances in Neural Information Processing Systems, 2026
  2. Workshop
    Anytime Convergence via Interpolation Annealing in Schedule-Free Optimization
    Jiseok Chae
    In OPT2026: 18th Annual Workshop on Optimization for Machine Learning, 2026
  3. NeurIPS
    Rethinking Memorization–Generalization Trade-Off in Generative Models
    Jiseok Chae*, Kyuwon Kim*, and Donghwan Kim
    * Equal contribution.
    Advances in Neural Information Processing Systems, 2026
  4. ACS AMI
    Optoelectronic Synaptic Transistors Based on Colloidal CdSe Nanowires for Energy-Efficient Neuromorphic Computing
    Woosik Kim*, Jiseok Chae*, Taesung Park, Hanseok Seo, Hyung Jin Choi, and 3 more authors
    * Equal contribution.
    ACS Applied Materials & Interfaces, 2026
  5. Ph.D. Thesis
    Two Theoretical Advances in Generative Models: minimax optimization methods with improved convergence and provable benign overfitting
    Jiseok Chae
    2026

2024

  1. NeurIPS
    Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements
    Jiseok Chae, Chulhee Yun, and Donghwan Kim
    Advances in Neural Information Processing Systems, 2024
  2. TDSC
    HEaaN-STAT: a privacy-preserving statistical analysis toolkit for large-scale numerical, ordinal, and categorical data
    Younho Lee, Jinyeong Seo, Yujin Nam, Jiseok Chae, and Jung Hee Cheon
    IEEE Transactions on Dependable and Secure Computing, 2024
  3. ICLR
    Two-timescale Extragradient for Finding Local Minimax Points
    Jiseok Chae, Kyuwon Kim, and Donghwan Kim
    International Conference on Learning Representations, 2024

2023

  1. COLT
    Open Problem: Is There a First-Order Method that Only Converges to Local Minimax Optima?
    Jiseok Chae, Kyuwon Kim, and Donghwan Kim
    In Conference on Learning Theory, 2023