1

Provable Benefit of Mixup for Finding Optimal Decision Boundaries
Junsoo Oh, Chulhee Yun
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
Jaeyoung Cha, Jaewook Lee, Chulhee Yun
On the Training Instability of Shuffling SGD with Batch Normalization
David X. Wu, Chulhee Yun, Suvrit Sra
SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization
Hanseul Cho, Chulhee Yun
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
Chulhee Yun, Shashank Rajput, Suvrit Sra
Open Problem: Can Single-Shuffle SGD be Better than Reshuffling SGD and GD?
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
Provable Memorization via Deep Neural Networks using Sub-linear Parameters
Sejun Park, Jaeho Lee, Chulhee Yun, Jinwoo Shin
A Unifying View on Implicit Bias in Training Linear Neural Networks
Chulhee Yun, Shankar Krishnan, Hossein Mobahi
Minimum Width for Universal Approximation
Sejun Park, Chulhee Yun, Jaeho Lee, Jinwoo Shin
SGD with shuffling: optimal rates without component convexity and large epoch requirements
Kwangjun Ahn, Chulhee Yun, Suvrit Sra