Optimization Lab
Optimization Lab
KAIST · Graduate School of AI
Professor
Prof. 윤철희
Professor's page · publicationsAbout
윤철희(Chulhee 'Charlie' Yun) 교수가 이끄는 OptiML(Optimization & Machine Learning) 연구실은 최적화와 딥러닝의 이론적 원리를 연구하며, 수학적 이론과 현대 신경망 학습의 실제 동작 사이의 간극을 메우는 것을 목표로 한다. 딥러닝 이론, 최적화, 머신러닝 이론이 핵심 분야이다.
Research keywords
Recent papers
- From Geometry to Generalization: Why Row Normalization Can Beat Adam and MuonNewPreprintarXiv (Cornell University) · Oct 8
- Stronger Lower Bounds for (Non-)Anytime Acceleration of Gradient DescentPreprintarXiv (Cornell University) · Sep 3
From OpenAlex · papers whose author affiliation matches this university
Selected publications
- Parameter Expanded Stochastic Gradient Markov Chain Monte CarloICLR · 2025
- Convergence and Implicit Bias of Gradient Descent on Continual Linear ClassificationICLR · 2025
- Arithmetic Transformers Can Length-Generalize in Both Operand Length and CountICLR · 2025
- Does SGD really happen in tiny subspaces?ICLR · 2025
- Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable ImprovementsNeurIPS · 2024
- Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task StructureNeurIPS · 2024
- Fundamental Benefit of Alternating Updates in Minimax OptimizationICML · 2024
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Labs that recently published on topics this lab's recent papers share
Shared topic: Domain Adaptation and Few-Shot Learning
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Preference Data Selection for Mitigating the Alignment Tax in Large Language ModelsPreprintarXiv (Cornell University) · Aug 25
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