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