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Workshop
Sat 8:15 Regression by clustering using Metropolis Hastings
Simón Ramírez Amaya
Poster
Thu 14:00 A Practical Algorithm for Distributed Clustering and Outlier Detection
Jiecao Chen · Erfan Sadeqi Azer · Qin Zhang
Spotlight
Tue 13:50 Data-Driven Clustering via Parameterized Lloyd's Families
Maria-Florina Balcan · Travis Dick · Colin White
Demonstration
Tue 7:45 Game for Detecting Backdoor Attacks on Deep Neural Networks using Activation Clustering
Casey Dugan · Werner Geyer · Narendra Nath Joshi · Ingrid Lange · Dustin Ramsey Torres · Bryant Chen · Nathalie Baracaldo · Heiko Ludwig
Poster
Thu 14:00 Understanding Regularized Spectral Clustering via Graph Conductance
Yilin Zhang · Karl Rohe
Poster
Tue 14:00 Data-Driven Clustering via Parameterized Lloyd's Families
Maria-Florina Balcan · Travis Dick · Colin White
Poster
Wed 14:00 Scalable Laplacian K-modes
Imtiaz Ziko · Eric Granger · Ismail Ben Ayed
Poster
Thu 14:00 Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport
Theo Lacombe · Marco Cuturi · Steve OUDOT
Poster
Thu 7:45 Statistical and Computational Trade-Offs in Kernel K-Means
Daniele Calandriello · Lorenzo Rosasco
Poster
Thu 14:00 Compact Representation of Uncertainty in Clustering
Craig Greenberg · Nicholas Monath · Ari Kobren · Patrick Flaherty · Andrew McGregor · Andrew McCallum
Poster
Thu 14:00 Clustering Redemption–Beyond the Impossibility of Kleinberg’s Axioms
Vincent Cohen-Addad · Varun Kanade · Frederik Mallmann-Trenn
Workshop
Sat 7:00 Brandon Carter, "Local and global model interpretability via backward selection and clustering"
Brandon Carter