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Oral
Thu Jun 13 11:00 AM -- 11:20 AM (PDT) @ Room 103
DBSCAN++: Towards fast and scalable density clustering
In Unsupervised Learning
Jennifer Jang · Heinrich Jiang
[ Oral] 
Oral
Thu Jun 13 11:20 AM -- 11:25 AM (PDT) @ Room 103
Concrete Autoencoders: Differentiable Feature Selection and Reconstruction
In Unsupervised Learning
Muhammed Fatih Balın · Abubakar Abid · James Zou
[ Slides]  [ Oral] 
Oral
Thu Jun 13 11:25 AM -- 11:30 AM (PDT) @ Room 103
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
In Unsupervised Learning
Hongteng Xu · Dixin Luo · Hongyuan Zha · Lawrence Carin
[ Slides]  [ Oral] 
Oral
Thu Jun 13 11:30 AM -- 11:35 AM (PDT) @ Room 103
Spectral Clustering of Signed Graphs via Matrix Power Means
In Unsupervised Learning
Pedro Mercado · Francesco Tudisco · Matthias Hein
[ Slides]  [ Oral] 
Oral
Thu Jun 13 11:35 AM -- 11:40 AM (PDT) @ Room 103
Coresets for Ordered Weighted Clustering
In Unsupervised Learning
Vladimir Braverman · Shaofeng Jiang · Robert Krauthgamer · Xuan Wu
[ Slides] 
Oral
Thu Jun 13 11:40 AM -- 12:00 PM (PDT) @ Room 103
Fair k-Center Clustering for Data Summarization
In Unsupervised Learning
Matthäus Kleindessner · Pranjal Awasthi · Jamie Morgenstern
[ Oral] 
Oral
Thu Jun 13 12:00 PM -- 12:05 PM (PDT) @ Room 103
A Better k-means++ Algorithm via Local Search
In Unsupervised Learning
Silvio Lattanzi · Christian Sohler
[ Slides]  [ Oral] 
Oral
Thu Jun 13 12:05 PM -- 12:10 PM (PDT) @ Room 103
Kernel Normalized Cut: a Theoretical Revisit
In Unsupervised Learning
Yoshikazu Terada · Michio Yamamoto
[ Slides]  [ Oral] 
Oral
Thu Jun 13 12:10 PM -- 12:15 PM (PDT) @ Room 103
Guarantees for Spectral Clustering with Fairness Constraints
In Unsupervised Learning
Matthäus Kleindessner · Samira Samadi · Pranjal Awasthi · Jamie Morgenstern
[ Slides]  [ Oral] 
Oral
Thu Jun 13 12:15 PM -- 12:20 PM (PDT) @ Room 103
Supervised Hierarchical Clustering with Exponential Linkage
In Unsupervised Learning
Nishant Yadav · Ari Kobren · Nicholas Monath · Andrew McCallum
[ Slides]  [ Oral]