Clustering

VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates AISTATS 2024 ACCD: An Adaptive Clustering-Based Collusion Detector in Crowdsourcing (Student Abstract) AAAI 2023 Adaptive Clustering Using Kernel Density Estimators JMLR 2023 Adaptive Data Depth via Multi-Armed Bandits JMLR 2023 Additive manifesto decomposition: A policy domain aware method for understanding party positioning ACL 2023 A Fast Maximum k-Plex Algorithm Parameterized by the Degeneracy Gap IJCAI 2023 Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization ICCV 2023 An Efficient and Continuous Voronoi Density Estimator AISTATS 2023 An Unpooling Layer for Graph Generation AISTATS 2023 Augmented Sparsifiers for Generalized Hypergraph Cuts JMLR 2023 Autoregressive Networks JMLR 2023 CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network Data ICML 2023 Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model AISTATS 2023 Clustering above Exponential Families with Tempered Exponential Measures AISTATS 2023 Clustering with Tangles: Algorithmic Framework and Theoretical Guarantees JMLR 2023 Cluster-Specific Predictions with Multi-Task Gaussian Processes JMLR 2023 COHESENTIA: A Novel Benchmark of Incremental versus Holistic Assessment of Coherence in Generated Texts EMNLP 2023 Community Detection in the Hypergraph SBM: Exact Recovery Given the Similarity Matrix COLT 2023 Community models for networks observed through edge nominations JMLR 2023 Composable Coresets for Determinant Maximization: Greedy is Almost Optimal NeurIPS 2023 Comprehensive Algorithm Portfolio Evaluation using Item Response Theory JMLR 2023 Core-sets for Fair and Diverse Data Summarization NeurIPS 2023 Creating a Public Repository for Joining Private Data NeurIPS 2023 Distributed Community Detection in Large Networks JMLR 2023 Diversity Maximization in the Presence of Outliers AAAI 2023