Publications

* Equal contribution.

Conference Papers

[C4] Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems

Yujun Kim*, Jaeyoung Cha*, Chulhee Yun
ICML 2025

[C3] Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count

Hanseul Cho*, Jaeyoung Cha*, Srinadh Bhojanapalli, Chulhee Yun
ICLR 2025

[C2] Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure

Hanseul Cho*, Jaeyoung Cha*, Pranjal Awasthi, Srinadh Bhojanapalli, Anupam Gupta, Chulhee Yun
NeurIPS 2024
Short version at ICML 2024 Workshop on Long-Context Foundation Models (LCFM)

[C1] Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond

Jaeyoung Cha, Jaewook Lee, Chulhee Yun
ICML 2023 (Oral)

Workshop Papers

[W3] The Phase Transition in Random Reshuffling: Tight Rates under Strong Convexity

Jaeyoung Cha*, Yujun Kim*, Chulhee Yun
NeurIPS 2026 Workshop OPT: Optimization for Machine Learning

[W2] In-Context Learning of Hidden Markov Models by Loop Transformers

Minseop Shin, Jaeyoung Cha, Chulhee Yun
NeurIPS 2026 Workshop on AI for Stochastic Dynamics: From Theoretical Foundations to Scientific Applications

[W1] Layer Verification Accelerates Speculative Tree Decoding

Jaeyoung Cha*, Hanseul Cho*, Chulhee Yun
ICML 2026 Workshop AdaptFM: Resource-Adaptive Foundation Model Inference

Domestic Conferences

[DC1] Cumulative Distribution Regret Minimization with Max Quantile Threshold in Multi-Armed Bandits

Jaeyoung Cha*, Junghyun Lee*, Chulhee Yun
Korea Computer Congress (KCC) 2026

Under Review

[U1] Beyond Local Acceptance: Subtree-Weighted Sampling for Speculative Tree Decoding

Jaeyoung Cha*, Hanseul Cho*, Chulhee Yun
Under Review, 2026