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Poster
Tue 7:00 Individual Fairness for k-Clustering
Sepideh Mahabadi · Ali Vakilian
Poster
Wed 12:00 k-means++: few more steps yield constant approximation
Davin Choo · Christoph Grunau · Julian Portmann · Vaclav Rozhon
Poster
Tue 10:00 Explainable k-Means and k-Medians Clustering
Michal Moshkovitz · Sanjoy Dasgupta · Cyrus Rashtchian · Nave Frost
Poster
Wed 10:00 Temporal Phenotyping using Deep Predictive Clustering of Disease Progression
Changhee Lee · Mihaela van der Schaar
Poster
Tue 7:00 Laplacian Regularized Few-Shot Learning
Imtiaz Ziko · Jose Dolz · Eric Granger · Ismail Ben Ayed
Poster
Wed 10:00 Correlation Clustering with Asymmetric Classification Errors
Jafar Jafarov · Sanchit Kalhan · Konstantin Makarychev · Yury Makarychev
Affinity Workshop
Mon 10:00 Deep Clustering Self-Organizing Maps with Relevance Learning
Heitor Medeiros
Poster
Wed 10:00 How to Solve Fair k-Center in Massive Data Models
Ashish Chiplunkar · Sagar Kale · Sivaramakrishnan Natarajan Ramamoorthy
Poster
Tue 7:00 Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms
Chaosheng Dong · Bo Zeng
Poster
Thu 13:00 On Efficient Low Distortion Ultrametric Embedding
Vincent Cohen-Addad · Karthik C. S. · Guillaume Lagarde
Workshop
Fri 8:35 Paper spotlight: Deep Representation Learning and Clustering of Traffic Scenarios
Nick Harmening · Stephan G√ľnnemann · Marin BiloŇ°
Poster
Wed 8:00 Coresets for Clustering in Graphs of Bounded Treewidth
Daniel Baker · Vladimir Braverman · Lingxiao Huang · Shaofeng H.-C. Jiang · Robert Krauthgamer · Xuan Wu