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Poster
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Tue 21:00
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Learning to Weight Imperfect Demonstrations
Yunke Wang · Chang Xu · Bo Du · Honglak Lee
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Poster
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Thu 9:00
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BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders
Dominic Danks · Christopher Yau
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Workshop
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Tangent Space Least Adaptive Clustering
James Buenfil · Samson Koelle · Marina Meila
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Workshop
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Consistent Spectral Clustering of Network Block Models under Local Differential Privacy
Jonathan Hehir · Aleksandra Slavković · Xiaoyue Niu
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Workshop
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Label differential privacy via clustering
Hossein Esfandiari · Vahab Mirrokni · Umar Syed · Sergei Vassilvitskii
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Affinity Workshop
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Wed 8:30
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Clustering With Financial Fundamentals
Jennifer Glenski
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Poster
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Thu 9:00
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Feature Clustering for Support Identification in Extreme Regions
Hamid Jalalzai · Rémi Leluc
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Spotlight
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Wed 19:10
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Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels
Zhaowei Zhu · Yiwen Song · Yang Liu
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Oral
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Thu 5:00
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Local Algorithms for Finding Densely Connected Clusters
Peter Macgregor · He Sun
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Poster
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Thu 9:00
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Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
Yann Fraboni · Richard Vidal · Laetitia Kameni · Marco Lorenzi
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Spotlight
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Thu 5:20
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Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures
Martijn Gösgens · Aleksei Tikhonov · Liudmila Prokhorenkova
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Spotlight
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Wed 7:20
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Learning from Biased Data: A Semi-Parametric Approach
Patrice Bertail · Stephan Clémençon · Yannick Guyonvarch · Nathan NOIRY
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