metric space

End-to-End Deep Learning for Predicting Metric Space-Valued Outputs JMLR 2026 Exclusion Zones of Instant Runoff Voting AAAI 2026 Learning with Structure: Computing Consistent Subsets on Structurally-Regular Graphs AAAI 2026 Margin in Abstract Spaces COLT 2026 Almost Optimal Fully Dynamic k-Center Clustering with Recourse ICML 2025 Approximate Forest Completion and Learning-Augmented Algorithms for Metric Minimum Spanning Trees ICML 2025 A Subquadratic Time Approximation Algorithm for Individually Fair k-Center AISTATS 2025 Beyond Mere Token Analysis: A Hypergraph Metric Space Framework for Defending Against Socially Engineered LLM Attacks ICLR 2025 Competitively Consistent Clustering ICML 2025 Few-Shot Learner Generalizes Across AI-Generated Image Detection ICML 2025 Improved Bounds for Online Facility Location with Predictions AAAI 2025 IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations AAAI 2025 Robust Estimation in metric spaces: Achieving Exponential Concentration with a Fréchet Median AISTATS 2025 Strategic Network Creation for Enabling Greedy Routing AAAI 2025 The Z-Gromov-Wasserstein Distance JMLR 2025 A Scalable Algorithm for Individually Fair k-Means Clustering AISTATS 2024 Concentration of empirical barycenters in metric spaces ALT 2024 Dynamic Tangled Derivative Logic of Metric Spaces AAAI 2024 Fréchet Random Forests for Metric Space Valued Regression with Non Euclidean Predictors JMLR 2024 How Classification Baseline Works for Deep Metric Learning: A Perspective of Metric Space ACML 2024 Improved Guarantees for Fully Dynamic k-Center Clustering with Outliers in General Metric Spaces NeurIPS 2024 Learning Ultrametric Trees for Optimal Transport Regression AAAI 2024 New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering ICML 2024 Online Consistency of the Nearest Neighbor Rule NeurIPS 2024 On the cohesion and separability of average-link for hierarchical agglomerative clustering NeurIPS 2024