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Clustering

756 papers

Papers per year

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Papers

Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace JMLR 2021
On efficient multilevel Clustering via Wasserstein distances JMLR 2021
Statistical guarantees for local graph clustering JMLR 2021
Locally Private k-Means Clustering JMLR 2021
Collusion Detection and Ground Truth Inference in Crowdsourcing for Labeling Tasks JMLR 2021
Sparse Popularity Adjusted Stochastic Block Model JMLR 2021
Integrated Principal Components Analysis JMLR 2021
Dynamic visualization for L1 fusion convex clustering in near-linear time UAI 2021
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow NIPS 2020
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian NIPS 2020
Baxter Permutation Process NIPS 2020
BanditPAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits NIPS 2020
Discovering conflicting groups in signed networks NIPS 2020
Probabilistic Fair Clustering NIPS 2020
KFC: A Scalable Approximation Algorithm for $k$−center Fair Clustering NIPS 2020
Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut NIPS 2020
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering NIPS 2020
Fast and Accurate $k$-means++ via Rejection Sampling NIPS 2020
CO-Optimal Transport NIPS 2020
Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion NIPS 2020
MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection AAAI 2020
Enumerating Maximal k-Plexes with Worst-Case Time Guarantee AAAI 2020
Outlier Detection Ensemble with Embedded Feature Selection AAAI 2020
Multi-View Clustering in Latent Embedding Space AAAI 2020
Explainable Data Decompositions AAAI 2020