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Workshop
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Fri 4:45
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Mike Hughes: BNPy tutorial - Clustering with Dirichlet Processes and extensions in Python
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Poster
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Wed 9:00
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Fast learning rates with heavy-tailed losses
Vu C Dinh · Lam S Ho · Binh Nguyen · Duy Nguyen
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Poster
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Tue 9:00
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Mixed Linear Regression with Multiple Components
Kai Zhong · Prateek Jain · Inderjit Dhillon
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Poster
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Tue 9:00
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Dimensionality Reduction of Massive Sparse Datasets Using Coresets
Dan Feldman · Mikhail Volkov · Daniela Rus
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Poster
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Tue 9:00
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Clustering with Same-Cluster Queries
Hassan Ashtiani · Shrinu Kushagra · Shai Ben-David
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Poster
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Wed 9:00
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Robust Spectral Detection of Global Structures in the Data by Learning a Regularization
Pan Zhang
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Oral
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Tue 2:00
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Hierarchical Clustering via Spreading Metrics
Aurko Roy · Sebastian Pokutta
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Poster
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Wed 9:00
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A scaled Bregman theorem with applications
Richard Nock · Aditya Menon · Cheng Soon Ong
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Poster
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Tue 9:00
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Hierarchical Clustering via Spreading Metrics
Aurko Roy · Sebastian Pokutta
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Poster
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Tue 9:00
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Fast and Provably Good Seedings for k-Means
Olivier Bachem · Mario Lucic · Hamed Hassani · Andreas Krause
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Poster
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Tue 9:00
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Graphons, mergeons, and so on!
Justin Eldridge · Mikhail Belkin · Yusu Wang
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Workshop
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Sat 5:15
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Modelling-based experiment retrieval: A case study with gene expression clustering.
Paul Blomstedt
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