Publications by Category

Fundamental Benefit of Alternating Updates in Minimax Optimization

👥 Jaewook Lee* , Hanseul Cho* , and Chulhee Yun

📜 ICML 2024 (Short version at ICLR 2024 Workshop on Bridging the Gap Between Practice and Theory in Deep Learning (BGPT))     🗓 May 02, 2024     🔗 [paper]

🎉 Spotlight @ ICML 2024 (Top 3.5% among total submissions)

Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure

👥 Hanseul Cho* , Jaeyoung Cha* , Pranjal Awasthi , Srinadh Bhojanapalli , Anupam Gupta , and Chulhee Yun

📜 NeurIPS 2024 (Short version at ICML 2024 Workshop on Long-Context Foundation Models (LCFM))     🗓 September 26, 2024     🔗 [paper]

Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count

👥 Hanseul Cho* , Jaeyoung Cha* , Srinadh Bhojanapalli , and Chulhee Yun

📜 Arxiv Preprint     🗓 October 22, 2024     🔗 [paper]

SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization

👥 Hanseul Cho and Chulhee Yun

📜 ICLR 2023     🗓 February 02, 2023     🔗 [paper]

🎉 NAVER Outstanding Theory Paper Award at 2022 KAIA-NAVER Autumnal Joint Conference

Fundamental Benefit of Alternating Updates in Minimax Optimization

👥 Jaewook Lee* , Hanseul Cho* , and Chulhee Yun

📜 ICML 2024 (Short version at ICLR 2024 Workshop on Bridging the Gap Between Practice and Theory in Deep Learning (BGPT))     🗓 May 02, 2024     🔗 [paper]

🎉 Spotlight @ ICML 2024 (Top 3.5% among total submissions)

Fundamental Benefit of Alternating Updates in Minimax Optimization

👥 Jaewook Lee* , Hanseul Cho* , and Chulhee Yun

📜 ICML 2024 (Short version at ICLR 2024 Workshop on Bridging the Gap Between Practice and Theory in Deep Learning (BGPT))     🗓 May 02, 2024     🔗 [paper]

🎉 Spotlight @ ICML 2024 (Top 3.5% among total submissions)

DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity

👥 Baekrok Shin* , Junsoo Oh* , Hanseul Cho , and Chulhee Yun

📜 NeurIPS 2024 (Short version at ICML 2024 Workshop on Workshop on Advancing Neural Network Training (WANT))     🗓 September 26, 2024     🔗 [paper]

Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure

👥 Hanseul Cho* , Jaeyoung Cha* , Pranjal Awasthi , Srinadh Bhojanapalli , Anupam Gupta , and Chulhee Yun

📜 NeurIPS 2024 (Short version at ICML 2024 Workshop on Long-Context Foundation Models (LCFM))     🗓 September 26, 2024     🔗 [paper]

SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization

👥 Hanseul Cho and Chulhee Yun

📜 ICLR 2023     🗓 February 02, 2023     🔗 [paper]

🎉 NAVER Outstanding Theory Paper Award at 2022 KAIA-NAVER Autumnal Joint Conference

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 , and Chulhee Yun

📜 NeurIPS 2023     🗓 September 22, 2023     🔗 [paper]

Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint

👥 Junghyun Lee* , Hanseul Cho* , Se-Young Yun , and Chulhee Yun

📜 NeurIPS 2023     🗓 September 22, 2023     🔗 [paper]

Fundamental Benefit of Alternating Updates in Minimax Optimization

👥 Jaewook Lee* , Hanseul Cho* , and Chulhee Yun

📜 ICML 2024 (Short version at ICLR 2024 Workshop on Bridging the Gap Between Practice and Theory in Deep Learning (BGPT))     🗓 May 02, 2024     🔗 [paper]

🎉 Spotlight @ ICML 2024 (Top 3.5% among total submissions)

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 , and Chulhee Yun

📜 NeurIPS 2023     🗓 September 22, 2023     🔗 [paper]

Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint

👥 Junghyun Lee* , Hanseul Cho* , Se-Young Yun , and Chulhee Yun

📜 NeurIPS 2023     🗓 September 22, 2023     🔗 [paper]

DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity

👥 Baekrok Shin* , Junsoo Oh* , Hanseul Cho , and Chulhee Yun

📜 NeurIPS 2024 (Short version at ICML 2024 Workshop on Workshop on Advancing Neural Network Training (WANT))     🗓 September 26, 2024     🔗 [paper]

Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure

👥 Hanseul Cho* , Jaeyoung Cha* , Pranjal Awasthi , Srinadh Bhojanapalli , Anupam Gupta , and Chulhee Yun

📜 NeurIPS 2024 (Short version at ICML 2024 Workshop on Long-Context Foundation Models (LCFM))     🗓 September 26, 2024     🔗 [paper]