1 citations · 4 across the 8 of their papers we have counts for
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Gradient Descent with Polyak's Momentum Finds Flatter Minima via Large Catapults
Prin Phunyaphibarn, Junghyun Lee, Bohan Wang +2
Although gradient descent with Polyak's momentum is widely used in modern machine and deep learning, a concrete understanding of its effects on the training trajectory remains elus…
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
Junghyun Lee, Hanseul Cho, Se-Young Yun +1
Fair Principal Component Analysis (PCA) is a problem setting where we aim to perform PCA while making the resulting representation fair in that the projected distributions, conditi…
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
Junghyun Lee, Se-Young Yun, Kwang-Sung Jun
Logistic bandit is a ubiquitous framework of modeling users' choices, e.g., click vs. no click for advertisement recommender system. We observe that the prior works overlook or neg…
Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks
Junghyun Lee, Laura Schmid, Se-Young Yun
Multi-armed bandits are extensively used to model sequential decision-making, making them ubiquitous in many real-life applications such as online recommender systems and wireless…