metric space

Representation Tradeoffs for Hyperbolic Embeddings ICML 2018 The K-Nearest Neighbour UCB Algorithm for Multi-Armed Bandits with Covariates ALT 2018 Comparison-Based Nearest Neighbor Search AISTATS 2017 Geodesic Distance Descriptors CVPR 2017 Multi-Armed Bandits with Metric Movement Costs NeurIPS 2017 Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions NeurIPS 2017 PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space NeurIPS 2017 Prototypical Networks for Few-shot Learning NeurIPS 2017 Active Nearest-Neighbor Learning in Metric Spaces NeurIPS 2016 Improved Error Bounds for Tree Representations of Metric Spaces NeurIPS 2016 Linear Relaxations for Finding Diverse Elements in Metric Spaces NeurIPS 2016 New Resistance Distances with Global Information on Large Graphs AISTATS 2016 Open Problem: Kernel methods on manifolds and metric spaces. What is the probability of a positive definite geodesic exponential kernel? COLT 2016 Faster cover trees ICML 2015 Maximum Margin Multiclass Nearest Neighbors ICML 2014 Near-optimal sample compression for nearest neighbors NeurIPS 2014 Rates of Convergence for Nearest Neighbor Classification NeurIPS 2014 Adaptivity to Local Smoothness and Dimension in Kernel Regression NeurIPS 2013 Learning to Prune in Metric and Non-Metric Spaces NeurIPS 2013 Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections JMLR 2013 k-NN Regression Adapts to Local Intrinsic Dimension NeurIPS 2011 Multi-armed bandits on implicit metric spaces NeurIPS 2011 Contextual Multi-Armed Bandits AISTATS 2010 Fast, smooth and adaptive regression in metric spaces NeurIPS 2009 Robust Nonparametric Regression with Metric-Space Valued Output NeurIPS 2009