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Poster
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Thu 9:00 |
Average Sensitivity of Euclidean k-Clustering Yuichi Yoshida · Shinji Ito |
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Poster
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Wed 14:00 |
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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Wed 9:00 |
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 14:00 |
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 |
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering Lingxiao Huang · Zhize Li · Jialin Sun · Haoyu Zhao |
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Workshop
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Fuzzy c-Means Clustering in Persistence Diagram Space for Deep Learning Model Selection Thomas Davies · Jack Aspinall · Bryan Wilder · Long Tran-Thanh |
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Poster
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Thu 9:00 |
Cluster and Aggregate: Face Recognition with Large Probe Set Minchul Kim · Feng Liu · Anil K Jain · Xiaoming Liu |
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Poster
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Wed 14:00 |
Global Optimal K-Medoids Clustering of One Million Samples Jiayang Ren · Kaixun Hua · Yankai Cao |
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Poster
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Thu 9:00 |
Near-Optimal Private and Scalable $k$-Clustering Vincent Cohen-Addad · Alessandro Epasto · Vahab Mirrokni · Shyam Narayanan · Peilin Zhong |