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Poster
Wed 9:00 Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means
Rong Yin · Yong Liu · Weiping Wang · Dan Meng
Poster
Thu 9:00 Average Sensitivity of Euclidean k-Clustering
Yuichi Yoshida · Shinji Ito
Poster
Wed 14:00 Wasserstein $K$-means for clustering probability distributions
Yubo Zhuang · Xiaohui Chen · Yun Yang
Workshop
Skeleton Clustering: Graph-Based Approach for Dimension-Free Density-Aided Clustering
Zeyu Wei · Yen-Chi Chen
Poster
Thu 14:00 Improved Coresets for Euclidean $k$-Means
Vincent Cohen-Addad · Kasper Green Larsen · David Saulpic · Chris Schwiegelshohn · Omar Ali Sheikh-Omar
Poster
Tue 14:00 Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering
Lingxiao Huang · Zhize Li · Jialin Sun · Haoyu Zhao
Poster
Wed 14:00 Log-Linear-Time Gaussian Processes Using Binary Tree Kernels
Michael K. Cohen · Samuel Daulton · Michael A Osborne
Workshop
Dynamical Mean Field Theory of Kernel Evolution in Wide Neural Networks
Blake Bordelon · Cengiz Pehlevan
Poster
Thu 14:00 Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization
Yibo Zeng · Henry Lam
Poster
Thu 14:00 Optimal Rates for Regularized Conditional Mean Embedding Learning
Zhu Li · Dimitri Meunier · Mattes Mollenhauer · Arthur Gretton