Jinhui Xu

Removing Aspect Ratio on the Running Time for Constrained k-center Clustering

Understanding Private Learning From Feature Perspective

Dynamical Persistent Homology via Wasserstein Gradient Flow

Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation

New Algorithms for the Learning-Augmented k-means Problem

TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram

Towards User-level Private Reinforcement Learning with Human Feedback

Private Stochastic Convex Optimization with Tysbakov Noise Condition and Large Lipschitz Constant

Why Fine-Tuning Struggles with Forgetting in Machine Unlearning? Theoretical Insights and a Remedial Approach