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Clustering

3615 directly classified papers

Papers per year

Papers

From Small Scales to Large Scales: Distance-to-Measure Density based Geometric Analysis of Complex Data JMLR 2024
Optimal Clustering with Bandit Feedback JMLR 2024
Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport JMLR 2024
Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks JMLR 2024
From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement NIPS 2024
Fast Unpaired Multi-view Clustering IJCAI 2024
Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs EMNLP 2024
Differentiable Information Bottleneck for Deterministic Multi-view Clustering CVPR 2024
Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering AAAI 2023
Large data limit of the MBO scheme for data clustering: convergence of the dynamics JMLR 2023
Test Coverage for Network Configurations NSDI 2023
Scale Invariant Power Iteration JMLR 2023
Adaptive Clustering Using Kernel Density Estimators JMLR 2023
Nearest Neighbor Dirichlet Mixtures JMLR 2023
Autoregressive Networks JMLR 2023
Clustering and Structural Robustness in Causal Diagrams JMLR 2023
Clustering with Tangles: Algorithmic Framework and Theoretical Guarantees JMLR 2023
Quantifying Network Similarity using Graph Cumulants JMLR 2023
Large sample spectral analysis of graph-based multi-manifold clustering JMLR 2023
The Hyperspherical Geometry of Community Detection: Modularity as a Distance JMLR 2023
Regularized Joint Mixture Models JMLR 2023
The Power of Uniform Sampling for k-Median ICML 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data NIPS 2023
Sampling random graph homomorphisms and applications to network data analysis JMLR 2023
Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search JMLR 2023