Co-occurring keywords · papers mentioning both
Papers
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models
AISTATS 2025
Faster Linear Algebra for Distance Matrices
NeurIPS 2022
How can classical multidimensional scaling go wrong?
NeurIPS 2021
Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection
JMLR 2020
Sample-Optimal Low-Rank Approximation of Distance Matrices
COLT 2019
Sublinear Time Low-Rank Approximation of Distance Matrices
NeurIPS 2018
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding
NeurIPS 2016
Fantope Regularization in Metric Learning
CVPR 2014
On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap
AISTATS 2012
Recovering Networks from Distance Data
ACML 2012
Bayesian Partitioning of Large-Scale Distance Data
NeurIPS 2011
Sparse Metric Learning via Smooth Optimization
NeurIPS 2009