Browse by Author Yun, Chulhee
Showing results 1 to 17 of 17
| Face Detection using Local Hybrid Patterns Yun, Chulhee; Lee, Donghoon; Yoo, Chang-Dong, IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE Signal Processing Society, 2015-04-22 |
| Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint Lee, Junghyun; Cho, Hanseul; Yun, Se-Young; Yun, Chulhee, 37th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2023-12-12 |
| Improved convergence rate of sgda by shuffling: focusing on the nonconvex-PŁ minimax problems = 셔플링을 이용한 확률적 경사 하강 상승법의 수렴 속도 분석: 비볼록-PŁ 최대최소화 문제를 중심으로link Cho, Hanseul; 조한슬; et al, 한국과학기술원, 2023 |
| Linear attention is (maybe) all you need (to understand Transformer optimization) Ahn, Kwangjun; Cheng, Xiang; Song, Minhak; Yun, Chulhee; Jadbabaie, Ali; Sra, Suvrit, 12th International Conference on Learning Representations, ICLR 2024, International Conference on Learning Representations (ICLR), 2024-05-07 |
| Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond Yun, Chulhee; Rajput, Shashank; Sra, Suvrit, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations (ICLR), 2022-04-26 |
| Near-optimal clustering in block Markov decision processes = 블락 마르코프 결정 과정에서의 거의 최적의 군집화 알고리즘link Lee, Junghyun; Yun, Se-Young; 윤세영; Yun, Chulhee; et al, 한국과학기술원, 2023 |
| On the Training Instability of Shuffling SGD with Batch Normalization Wu, David X; Yun, Chulhee; Sra, Suvrit, 40th International Conference on Machine Learning, ICML 2023, pp.37787 - 37845, International Conference on Machine Learning, 2023-07-26 |
| Optimal convergence rate of without-replacement SGD = 비복원 추출 기반 확률적 경사 하강법의 최적 수렴 속도 분석link Cha, Jaeyoung; 차재영; et al, 한국과학기술원, 2024 |
| PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning Lee, Hojoon; Cho, Hanseul; Kim, Hyunseung; Gwak, Daehoon; Kim, Joonkee; Choo, Jaegul; Yun, Se-Young; et al, 37th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2023-12-13 |
| Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima Si, Dongkuk; Yun, Chulhee, 37th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2023-12-12 |
| Provable Benefit of Mixup for Finding Optimal Decision Boundaries Oh, Junsoo; Yun, Chulhee, 40th International Conference on Machine Learning, ICML 2023, pp.26403 - 26450, International Conference on Machine Learning, 2023-07-26 |
| Provable Memorization via Deep Neural Networks using Sub-linear Parameters Park, Sejun; Lee, Jaeho; Yun, Chulhee; Shin, Jinwoo, Conference on Learning Theory (COLT) 2021, JMLR JOURNAL MACHINE LEARNING RESEARCH, 2021-08 |
| SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization Cho, Hanseul; Yun, Chulhee, 11th International Conference on Learning Representations, ICLR 2023, International Conference on Learning Representations (ICLR), 2023-05-03 |
| (The) convergence analysis of sharpness-aware minimization under practical settings = 실제 환경에서의 첨예도 감지 최소화에 대한 수렴성 분석link Si, Dongkuk; 시동국; et al, 한국과학기술원, 2024 |
| Theoretical insights into mixup: perspectives on decision boundaries = 믹스업에 대한 이론적 통찰: 결정 경계의 관점으로link Oh, Junsoo; 오준수; et al, 한국과학기술원, 2024 |
| Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond Cha, Jaeyoung; Lee, Jaewook; Yun, Chulhee, 40th International Conference on Machine Learning, ICML 2023, pp.3855 - 3912, International Conference on Machine Learning, 2023-07-25 |
| Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory Song, Minhak; Yun, Chulhee, 37th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2023-12-13 |
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