high-dimensional data

Dimension-Free Error Bounds from Random Projections AAAI 2019 Fast Low-rank Metric Learning for Large-scale and High-dimensional Data NeurIPS 2019 Fast structure learning with modular regularization NeurIPS 2019 Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data ICML 2019 Graphical-model based estimation and inference for differential privacy ICML 2019 HMLasso: Lasso with High Missing Rate IJCAI 2019 Is an Affine Constraint Needed for Affine Subspace Clustering? ICCV 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019 On Geometric Alignment in Low Doubling Dimension AAAI 2019 Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python JMLR 2019 Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves NeurIPS 2019 Rehashing Kernel Evaluation in High Dimensions ICML 2019 Shared Subspace Models for Multi-Group Covariance Estimation JMLR 2019 Space and Time Efficient Kernel Density Estimation in High Dimensions NeurIPS 2019 Dimensionality's Blessing: Clustering Images by Underlying Distribution CVPR 2018 Estimation of Graphical Models through Structured Norm Minimization JMLR 2018 Fast Similarity Search via Optimal Sparse Lifting NeurIPS 2018 Local Density Estimation in High Dimensions ICML 2018 Medoids in Almost-Linear Time via Multi-Armed Bandits AISTATS 2018 Mixture of GANs for Clustering IJCAI 2018 On the Spectrum of Random Features Maps of High Dimensional Data ICML 2018 Random Subspace with Trees for Feature Selection Under Memory Constraints AISTATS 2018 Robust Feature Selection on Incomplete Data IJCAI 2018 WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models ICML 2018 Adaptive Clustering through Semidefinite Programming NeurIPS 2017