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AMUSE: Anytime Muon with Stable Gradient Evaluation
Jueun Kim, Baekrok Shin, Jihun Yun, Beomhan Baek, Minhak Song, Chulhee Yun
Uniform Spectral Growth under Factor-wise Gradient Orthogonalization in Matrix Factorization
Changmin Kang, Jihun Yun, Baekrok Shin, Yeseul Cho, Chulhee Yun
Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling
Yeseul Cho, Baekrok Shin, Changmin Kang, Chulhee Yun
Transformers Can Learn Multiclass Classification In-Context: Isotropy Governs Generalization
Daehan Yoon, Chulhee Yun
Looking Through the Mirror: Minimax-Optimal Regularized Regrets in Online Learning and Bandits
Junghyun Lee, Yujun Kim, Chulhee Yun, Se-Young Yun
Provably Efficient Regularized Online RLHF with Generalized Bilinear Preferences
Junghyun Lee, Minju Hong, Kwang-Sung Jun, Chulhee Yun, Se-Young Yun
Scaling Laws of SignSGD in Linear Regression: When Does It Outperform SGD?
Jihwan Kim, Dogyoon Song, Chulhee Yun
Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization
Chaewon Moon, Dongkuk Si, Chulhee Yun
Implicit Bias of Per-sample Adam on Separable Data: Departure from the Full-batch Regime
Beomhan Baek, Minhak Song, Chulhee Yun
Implicit Bias and Loss of Plasticity in Matrix Completion: Depth Promotes Low-Rankness
Baekrok Shin, Chulhee Yun