Donghwan Kim
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About Me
I am an associate professor in the Department of Mathematical Sciences at KAIST.
Curriculum Vitae, Google scholar entry
Current Research Interests
Optimization for Machine Learning
Convergence of (Stochastic) Gradient Method in Minimax Optimization, Loss Landscape
Generalization in Machine Learning
Implicit Bias of Gradient Method, Benign Overfitting, Double Descent
Application: Generative Models
Generative Adversarial Network, Diffusion Model, Language Model
Recent News
25.07.20: I will attend International Conference on Continuous Optimization (ICCOPT) 2025 in Los Angeles.
25.07.14: I will attend ICML 2025 in Vancouver.
25.06.09: Our first paper on generalization is accepted to the High-dimensional Learning Dynamics (HiLD) Workshop at ICML 2025.
25.04.04: I gave a talk at the University of Wisconsin-Madison Applied and Computational Mathematics Seminar.
25.01.23: I gave a talk at the University of Michigan ECE Communications and Signal Processing (CSP) seminar. [Video] [Slides]
25.01.08: I gave a talk at the UCLA Applied Math Colloquium. [Video]
Past News
24.12.10: I attended NeurIPS 2024 in Vancouver.
24.11.05: I gave a talk at the UC Davis Mathematics of Data and Decisions at Davis (MADDD) seminar.
24.09.25: We have one paper accepted to NeurIPS 2024.
24.08.16: I started my sabbatical year at UC Berkeley.
24.07.04: Yejun Kim and Dongchan Shin joined our group as M.S.-Ph.D. Students.
24.05.16: I gave a talk at the KIAS under the title ‘‘How to make the gradient descent-ascent converge to local minimax optima.’’
24.05.02: We have two papers accepted to ICML 2024.
24.04.19: I organized the ‘‘Optimization and Machine Learning’’ session at the 2024 KMS Spring Meeting.
24.04.19: Sucheol Lee, the first Ph.D. graduate from our group, received an excellent dissertation award from the Korean Mathematical Society (KMS).
24.03.04: Jimyeong Kim joined our group as a postdoc.
24.02.01: Kyungjae Lee joined our group as a M.S.-Ph.D. student.
24.01.17: We have one paper accepted to ICLR 2024.
24.01.02: We have one undergraduate student (Minhee Hong) doing individual study this winter semester.
23.08.28: 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 Info
donghwankim (at) kaist (dot) ac (dot) kr