## Donghwan Kim## About MeI am an assistant professor in the Department of Mathematical Sciences at KAIST. Curriculum Vitae, Google scholar entry ## Current Research InterestsOptimization for Machine Learning (Stochastic) Gradient Methods for Minimax and Bilevel Optimization
Generalization in Machine Learning
## Recent News23.08.28: Munsik Kim joined our group as a Ph.D. student. 23.07.28: I gave a talk at the KAI-X Mathematics Summer School under the title ‘‘The power of gradient descent in machine learning.’’ 23.06.26: We have one graduate student (Keyan Shi, Technische Universitat Munchen) doing KAI-X research internship this summer semester. 23.06.21: We have one paper accepted to COLT (Open problems track) 2023. 23.06.19: We have two undergraduate students (Changmin Kang, Changhyun Ko) doing individual study this summer semester. 23.05.31: I gave a talk at the SIAM Conference on Optimization under the title ‘‘Fast extra gradient methods for smooth structured nonconvex-nonconcave minimax problems.’’ 23.05.19: I gave a talk at the KSIAM Spring Conference under the title ‘‘Two-timescale extragradient converges to local minimax points.’’ 23.04.28: I gave a talk at the KMS Spring Meeting under the title ‘‘Two-timescale extragradient converges to local minimax points.’’ 23.04.24: I gave a talk at the HKUST-KAIST-NUS Joint Workshop on Applied and Computational Mathematics under the title ‘‘Two-timescale extragradient converges to local minimax points.’’ 23.04.05: I gave a talk at the KAIST BTM S&T Biz Colloquium under the title ‘‘AI learning and optimization.’’ 23.03.31: I gave a talk at the Postech IME seminar about our recent research under the title ‘‘Gradient methods for minimax optimization.’’ 23.01.13: We have two undergraduate students (Seong Bae Lim, Yujun Kim) doing individual study this winter semester. 23.01.13: I will now start posting our group's recent news here.
## Contact Infodonghwankim (at) kaist (dot) ac (dot) kr |