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Nesterov Acceleration with Operator Decomposition
Jaewook Lee, Ernest K. Ryu, Chulhee Yun
Stronger Lower Bounds for (Non-)Anytime Acceleration of Gradient Descent
Minchan Jung, Hanseul Cho, Chulhee Yun
From Geometry to Generalization: Why Row Normalization Can Beat Adam and Muon
Jihwan Kim, Dogyoon Song, Chulhee Yun
Beyond Loss Gaps: Stability and Geometry in Dynamic Sample Reweighting
Chulhee Yun, Ananda Theertha Suresh
The Phase Transition in Random Reshuffling: Tight Rates under Strong Convexity
Yujun Kim, Jaeyoung Cha, Chulhee Yun
Machine Unlearning with a Destination: Tracking a Minimizer Path to the Retain-Only Objective
Chaewon Moon, Yeseul Cho, Chulhee Yun
Beyond Rate Optimality: How Polyak’s Momentum Shapes Non-Convex Optimization
Donghwa Kim, Chulhee Yun
In-Context Learning of Hidden Markov Models by Loop Transformers
Minseop Shin, Jaeyoung Cha, Chulhee Yun
Layer Verification Accelerates Speculative Tree Decoding
Jaeyoung Cha, Hanseul Cho, Chulhee Yun
The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets
Yujun Kim, Chaewon Moon, Chulhee Yun