Cho, Hanseul

10 publications

ICLR 2025 Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count Hanseul Cho, Jaeyoung Cha, Srinadh Bhojanapalli, Chulhee Yun

ICLR 2025 Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification Hyunji Jung, Hanseul Cho, Chulhee Yun

ICMLW 2024 DASH: Warm-Starting Neural Network Training Without Loss of Plasticity Under Stationarity Baekrok Shin, Junsoo Oh, Hanseul Cho, Chulhee Yun

NeurIPS 2024 DASH: Warm-Starting Neural Network Training in Stationary Settings Without Loss of Plasticity Baekrok Shin, Junsoo Oh, Hanseul Cho, Chulhee Yun

ICML 2024 Fundamental Benefit of Alternating Updates in Minimax Optimization Jaewook Lee, Hanseul Cho, Chulhee Yun

NeurIPS 2024 Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure Hanseul Cho, Jaeyoung Cha, Pranjal Awasthi, Srinadh Bhojanapalli, Anupam Gupta, Chulhee Yun

ICMLW 2024 Position Coupling: Leveraging Task Structure for Improved Length Generalization of Transformers Hanseul Cho, Jaeyoung Cha, Pranjal Awasthi, Srinadh Bhojanapalli, Anupam Gupta, Chulhee Yun

NeurIPS 2023 Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint Junghyun Lee, Hanseul Cho, Se-Young Yun, Chulhee Yun

NeurIPS 2023 PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun

ICLR 2023 SGDA with Shuffling: Faster Convergence for Nonconvex-PŁ Minimax Optimization Hanseul Cho, Chulhee Yun