Mixed-type Distance Shrinkage and Selection for Clustering via Kernel
Metric LearningJournal of Classification (J. Classif.), 2023 |
KDEformer: Accelerating Transformers via Kernel Density EstimationInternational Conference on Machine Learning (ICML), 2023 |
Kernel ThinningAnnual Conference Computational Learning Theory (COLT), 2021 |
Optimal Coreset for Gaussian Kernel Density EstimationInternational Symposium on Computational Geometry (SoCG), 2020 |
Coresets for Kernel RegressionKnowledge Discovery and Data Mining (KDD), 2017 Yan Zheng J. M. Phillips |
Confidence sets for persistence diagramsAnnals of Statistics (AoS), 2013 |
epsilon-Samples of KernelsACM-SIAM Symposium on Discrete Algorithms (SODA), 2011 |