metric space

Consistency of Gaussian Process Regression in Metric Spaces JMLR 2021 Differentially Private Clustering via Maximum Coverage AAAI 2021 Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales CVPR 2021 Efficient Online Learning for Dynamic k-Clustering ICML 2021 Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries COLT 2021 Functions with average smoothness: structure, algorithms, and learning COLT 2021 Hierarchical Clustering in General Metric Spaces using Approximate Nearest Neighbors AISTATS 2021 Metrics and Continuity in Reinforcement Learning AAAI 2021 On the Consistency of Metric and Non-Metric K-Medoids AISTATS 2021 Private Release of Text Embedding Vectors NAACL 2021 Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces JMLR 2021 On Metric DBSCAN with Low Doubling Dimension IJCAI 2020 Provably adaptive reinforcement learning in metric spaces NeurIPS 2020 Approval-Based Elections and Distortion of Voting Rules IJCAI 2019 Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs NeurIPS 2019 Deep Embedding Features for Salient Object Detection AAAI 2019 Facility Location Problem in Differential Privacy Model Revisited NeurIPS 2019 Pure entropic regularization for metrical task systems COLT 2019 Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable AAAI 2019 Sample-Optimal Low-Rank Approximation of Distance Matrices COLT 2019 The Wasserstein Transform ICML 2019 Active Nearest-Neighbor Learning in Metric Spaces JMLR 2018 Comparison-Based Random Forests ICML 2018 Learning to Promote Saliency Detectors CVPR 2018 Non-metric Similarity Graphs for Maximum Inner Product Search NeurIPS 2018